From 88ccc79c33e6bc4d32483ce7f64594189212e210 Mon Sep 17 00:00:00 2001
From: Scot Federman <sfederman@mac.com>
Date: Tue, 29 Apr 2014 11:58:50 -0700
Subject: [PATCH] text updates

Updated Readme
Made RAPSearch spelling consistent
---
 Readme.pdf               | Bin 123764 -> 109313 bytes
 Readme.rtf               | 261 ++++++++++++++++++++++++++++++++++++++-
 Readme.txt               |  24 ++--
 SURPI.sh                 | 164 ++++++++++++------------
 abyss_minimus.sh         |  20 +--
 coverage_generator_bp.sh |   2 +-
 6 files changed, 365 insertions(+), 106 deletions(-)

diff --git a/Readme.pdf b/Readme.pdf
index d279ce11e2f04ab6dbd466dcc2e2e350fc6837a1..2ef323eeafb2485b68b7396aa8b8322db1714732 100644
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{\pntxtb (}{\pntxta )}}\pard\plain \ltrpar\ql \li0\ri-720\nowidctlpar\wrapdefault\faauto\rin-720\lin0\itap0\pararsid12336152 \rtlch\fcs1 \af0\afs20\alang1033 \ltrch\fcs0 \fs20\lang1033\langfe1033\cgrid\langnp1033\langfenp1033 {\rtlch\fcs1 \ab\af5\afs38 
\ltrch\fcs0 \b\f5\fs38\insrsid7931977 SURPI
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 v1.0.0
\par March 2014}{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\ul\insrsid7931977 Note:}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977  For the most up to date version of the SURPI source code, go to this website: http://chiulab.ucsf.edu/surpi.
\par 
\par SURPI has been tested on Ubuntu 12.04. It will likely function properly on other Linux distributions, but this has not been tested.
\par 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\ul\insrsid7931977 Hardware Requirements
\par 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 \tab SURPI requires a machine with high RAM in order to run efficiently. This is mainly due to SNAP, which gains its speed by loading the reference databases completely into RAM. We\rquote 
ve run SURPI successfully on machines with 60.5GB RAM. SURPI will use all cores on a machine by default, though the number of cores used can be adjusted within the config file. Much of SURPI is parallelized, so it benefits from using as man
y cores as possible.
\par 
\par 
\par The steps to install SURPI on a machine are as follows:}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid12336152 
\par }\pard \ltrpar\ql \li720\ri-720\nowidctlpar\wrapdefault\faauto\rin-720\lin720\itap0\pararsid12336152 {\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid12336152 
\par {\listtext\pard\plain\ltrpar \rtlch\fcs1 \af5 \ltrch\fcs0 \f5\insrsid12336152 \hich\af5\dbch\af0\loch\f5 1.\tab}}\pard \ltrpar\ql \fi-360\li720\ri-720\nowidctlpar\wrapdefault\faauto\ls3\rin-720\lin720\itap0\pararsid12336152 {\rtlch\fcs1 \af5\afs24 
\ltrch\fcs0 \f5\fs24\insrsid12336152 Install all software dependencies
\par {\listtext\pard\plain\ltrpar \rtlch\fcs1 \af5 \ltrch\fcs0 \f5 \hich\af5\dbch\af0\loch\f5 2.\tab}}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 Decompress SURPI.tar.gz, and place all files into a directory included in your $PATH
\par {\listtext\pard\plain\ltrpar \rtlch\fcs1 \af5 \ltrch\fcs0 \f5 \hich\af5\dbch\af0\loch\f5 3.\tab}Create the databases
\par {\listtext\pard\plain\ltrpar \rtlch\fcs1 \af5 \ltrch\fcs0 \f5 \hich\af5\dbch\af0\loch\f5 4.\tab}Customize certain SURPI files as shown below}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid12336152 
\par {\listtext\pard\plain\ltrpar \rtlch\fcs1 \af5 \ltrch\fcs0 \f5\charrsid12336152 \hich\af5\dbch\af0\loch\f5 5.\tab}}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977\charrsid12336152 Run SURPI
\par }\pard \ltrpar\ql \li0\ri-720\nowidctlpar\wrapdefault\faauto\rin-720\lin0\itap0\pararsid12336152 {\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par }{\rtlch\fcs1 \ab\af5\afs28 \ltrch\fcs0 \b\f5\fs28\insrsid7931977 1. Install Software Dependencies
\par 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 \tab The below software must be installed for SURPI to function properly.
\par }{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 
\par }{\rtlch\fcs1 \af5 \ltrch\fcs0 \f5\insrsid7931977 \tab \bullet  fastQValidator
\par \tab \tab http://genome.sph.umich.edu/wiki/FastQValidator
\par \tab \bullet  Minimo (v1.6)
\par \tab \tab http://sourceforge.net/projects/amos/files/amos/3.1.0/
\par \tab \bullet  Abyss (v1.3.5)
\par \tab \tab http://www.bcgsc.ca/platform/bioinfo/software/abyss
\par \tab \bullet  RAPSearch (v2.12)
\par \tab \tab http://omics.informatics.indiana.edu/mg/RAPSearch2/
\par \tab \bullet  seqtk (v 1.0r31)
\par \tab \tab https://github.com/lh3/seqtk
\par \tab \bullet  SNAP (v0.15)
\par \tab \tab http://snap.cs.berkeley.edu
\par \tab \bullet  gt (v1.5.1)
\par \tab \tab http://genometools.org/index.html
\par \tab \bullet  fastq
\par \tab \tab https://github.com/brentp/bio-playground/tree/master/reads-utils
\par \tab \bullet  fqextract
\par \tab \tab https://gist.github.com/drio/1168330
\par \tab \bullet  cutadapt (v1.2.1)
\par \tab \tab https://code.google.com/p/cutadapt/
\par \tab \bullet  prinseq-lite.pl
\par \tab \tab http://prinseq.sourceforge.net
\par \tab \bullet  dropcache
\par \tab \tab http://stackoverflow.com/questions/13646925/allowing-a-non-root-user-to-drop-cache
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par }{\rtlch\fcs1 \ab\af5\afs28 \ltrch\fcs0 \b\f5\fs28\insrsid7931977 2. Decompress SURPI
\par 
\par \tab }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 Use tar to decompress SURPI.tar.gz. Something like the following should work:
\par }{\rtlch\fcs1 \af4\afs24 \ltrch\fcs0 \f4\fs24\insrsid7931977 
\par }{\rtlch\fcs1 \af2\afs24 \ltrch\fcs0 \f2\fs24\insrsid7931977 \tab \tab tar xvfz SURPI.tar.gz}{\rtlch\fcs1 \ab\af2\afs28 \ltrch\fcs0 \b\f2\fs28\insrsid7931977 
\par }{\rtlch\fcs1 \ab\af5\afs28 \ltrch\fcs0 \b\f5\fs28\insrsid7931977 
\par 3. Create Databases
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par \tab The content and creation of the SNAP databases is documented in the paper in the Reference Databases section, which is duplicated below:
\par 
\par }\pard \ltrpar\ql \li0\ri-720\sl360\slmult1\nowidctlpar\wrapdefault\faauto\rin-720\lin0\itap0\pararsid12336152 {\rtlch\fcs1 \ai\af5\afs22 \ltrch\fcs0 \i\f5\fs22\insrsid7931977 
A 3.1 gigabase (Gb) human nucleotide database (human DB) was constructed from a combination of human genomic DNA (GRCh37 / hg19), rRNA (RefSeq), mRNA (RefSeq), and mitochondrial RNA (RefSeq) sequences in NCBI as of March of 2012.  The bacterial nucleotide
,
 viral nucleotide, and viral protein databases used by SURPI in fast mode (bacterial DB, viral nucleotide DB, and viral protein DB, respectively) were also constructed from sequences in NCBI as of March of 2012.  The 3 Gb bacterial DB was constructed from
 
all bacterial RefSeq entries and consisted of 348,922 unique accessioned sequences, each with a minimum length of 100 bp.  The 1.4 Gb viral nucleotide DB included 1,193,607 entries and was constructed by searching for all viral sequences in the 42 Gb Nati
onal Center for Biotechnology Information (NCBI) nt collection using the query term \u8220\'d2viridae[Organism]\u8221\'d3
 in BioPython.  The viral protein DB was similarly constructed by extracting viral sequences from the NCBI nr DB collection.  Index tables for SNAP (v0.15
) were generated with an empirically determined default seed size of 20 for the human DB and viral nucleotide DB, and seed size of 16 for the bacterial DB.  Index tables for RAPSearch (v2.09) were generated from the viral protein DB using default paramete
rs.
\par To generate the National Center for Biotechnology Information (NCBI) nucleotide (nt) collection (NCBI nt DB) used by SURPI in comprehensive mode, the complete 42 Gb nucleotide collection (nt) was downloaded from NCBI in January of 2013.  This collection
 consists of a comprehensive archive of sequences from multiple sources, including GenBank, European Molecular Biology Laboratory (EMBL), DNA Data Bank of Japan (DDBJ), and Protein Data Bank (PDB), and is the richest collection of annotated microbial sequ
e
nce data publicly available.  As SNAP uses 32-bit offsets in the reference genome during hashing, the aligner restricts the size of the reference genome to an absolute maximum of  2^32 bases, or ~4.2 Gb.  Thus, the 42 Gb NCBI nt collection was first split
 
into 29 sub-databases, each approximately 1.5 Gb in size.  Each sub-database was then indexed separately by SNAP at default parameters with a seed size of 20.  This generated 29 SNAP indexed databases, each approximately 27 GB in size, with the aggregate 
of all 29 databases referred to as the NCBI nt DB.}{\rtlch\fcs1 \ai\af1\afs22 \ltrch\fcs0 \i\f1\fs22\insrsid7931977 
\par }{\rtlch\fcs1 \ai\af5\afs24 \ltrch\fcs0 \i\f5\fs24\insrsid7931977 
\par }\pard \ltrpar\ql \li0\ri-720\nowidctlpar\wrapdefault\faauto\rin-720\lin0\itap0\pararsid12336152 {\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par }{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 \tab SNAP Databases
\par 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 \tab \tab \bullet  Human DB
\par 
\par }{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 \tab \tab \tab Comprehensive Mode
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par \tab \tab \tab \bullet  NCBI nr DB
\par \tab \tab \tab \bullet  Viral protein DB
\par \tab \tab \tab \bullet  NCBI nt DB
\par 
\par }{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 \tab \tab \tab Fast Mode
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 \tab 
\par \tab \tab \tab \bullet  Viral nt DB
\par \tab \tab \tab \bullet  Bacterial DB
\par }{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 \tab 
\par \tab Taxonomy Databases
\par 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 \tab These databases can be created using the shell script titled: }{\rtlch\fcs1 \ai\af5\afs24 \ltrch\fcs0 \i\f5\fs24\insrsid7931977 create_taxonomy_db.sh}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 
\f5\fs24\insrsid7931977 . Depending on your internet connection speed, and the speed of your system, this script may take several hours to complete creation of the database.
\par 
\par \tab \tab \bullet  gi_taxid_prot.db
\par \tab \tab \bullet  gi_taxid_nucl.db
\par \tab \tab \bullet  names_nodes_scientific.db
\par 
\par \tab To use this script, execute the create_taxonomy_db.sh program. This script will download the necessary data from NCBI, and generate the above 3 databases.
\par 
\par }{\rtlch\fcs1 \ab\af5\afs28 \ltrch\fcs0 \b\f5\fs28\insrsid7931977 
\par 4. SURPI file customization
\par 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 \tab Below are some notes on files that may need to be modified to run SURPI.
\par 
\par \bullet  }{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 cutadapt_quality.csh}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977  - specify location of /tmp folder
\par 
\par \tab }{\rtlch\fcs1 \ai\af5\afs24 \ltrch\fcs0 \i\f5\fs24\insrsid7931977 cutadapt_quality.csh}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
 defaults to using /tmp for temporary file storage. If using a system with limited space in this location, change the location to a directory with more storage space available.
\par 
\par \bullet  }{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 taxonomy_lookup_embedded.pl
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par \tab Set database_directory to the location of the taxonomy databases created below.
\par 
\par \bullet  }{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 tweet.pl
\par 
\par \tab }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
SURPI has the ability to send out notifications via Twitter at various stages within the pipeline. If this feature is desired, you will need to set up a Twitter application within your account for this purpose. See }{\field\flddirty{\*\fldinst {
\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 HYPERLINK "https://dev.twitter.com/apps"}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid12336152 {\*\datafield 
00d0c9ea79f9bace118c8200aa004ba90b0200000003000000e0c9ea79f9bace118c8200aa004ba90b3a000000680074007400700073003a002f002f006400650076002e0074007700690074007400650072002e0063006f006d002f0061007000700073000000}}}{\fldrslt {\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 
\f5\fs24\insrsid7931977 https://dev.twitter.com/apps}}}\sectd \ltrsect\linex0\sectdefaultcl\sftnbj {\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977  for more details.
\par 
\par \tab Once an application has been set up, fill in the below parameters to the }{\rtlch\fcs1 \ab\af5\afs24 \ltrch\fcs0 \b\f5\fs24\insrsid7931977 tweet.pl}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977  program.
\par \tab \tab }{\rtlch\fcs1 \af2\afs24 \ltrch\fcs0 \f2\fs24\insrsid7931977 consumer_key
\par \tab \tab consumer_secret
\par \tab \tab oauth_token
\par \tab \tab oauth_token_secret
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par \tab \bullet  perl modules to install
\par \tab \tab }{\rtlch\fcs1 \af2\afs24 \ltrch\fcs0 \f2\fs24\insrsid7931977 Net::Twitter::Lite::WithAPIv1_1
\par \tab \tab Net::OAuth}{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par 
\par 
\par }{\rtlch\fcs1 \ab\af5\afs28 \ltrch\fcs0 \b\f5\fs28\insrsid7931977 5. Run SURPI
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 
\par \tab To run SURPI, execute the following in a directory containing your FASTQ input file.
\par 
\par \tab 1. This command will create the necessary config file to run SURPI:
\par 
\par }{\rtlch\fcs1 \af2\afs24 \ltrch\fcs0 \f2\fs24\insrsid7931977 \tab \tab SURPI_v1.0.0.sh -z <INPUTFILE>
\par 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 \tab After typing the above line, a config file and a \u8220\'d2go\u8221\'d3
 file will be created. The config file will contain default values for many parameters - these parameters may need to be modified depending on your environment. The config file has descriptions of the options allowed by SURPI.
\par 
\par \tab 2. Once the config file has been customized, the SURPI pipeline can be initiated by typing in the name of the go file that was created. Below is an example (boldfaced text is inputted by the user):
\par 
\par }{\rtlch\fcs1 \af2 \ltrch\fcs0 \f2\insrsid7931977\charrsid12600477 sfederman@tribble:/data/inputfile/test$ }{\rtlch\fcs1 \ab\af2 \ltrch\fcs0 \b\f2\insrsid7931977\charrsid12600477 ls -laF}{\rtlch\fcs1 \af2 \ltrch\fcs0 \f2\insrsid7931977\charrsid12600477 

\par total 750212
\par drwxrwxr-x  2 sfederman sfederman      4096 Jan 20 16:45 ./
\par drwxrwxr-x 11 sfederman sfederman     61440 Jan 20 16:45 ../
\par -rw-rw-r--  1 sfederman sfederman 768143660 Jan 20 16:45 inputfile.fastq
\par sfederman@tribble:/data/inputfile/test$ }{\rtlch\fcs1 \ab\af2 \ltrch\fcs0 \b\f2\insrsid7931977\charrsid12600477 SURPI_v1.0.0.sh -z inputfile.fastq
\par }{\rtlch\fcs1 \af2 \ltrch\fcs0 \f2\insrsid7931977\charrsid12600477 
\par inputfile.config generated. Please edit it to contain the proper parameters for your analysis.
\par go_ inputfile generated. Initiate the pipeline by running this program. (./go_inputfile)
\par 
\par sfederman@tribble:/data/inputfile/test$ }{\rtlch\fcs1 \ab\af2 \ltrch\fcs0 \b\f2\insrsid7931977\charrsid12600477 ls -laF}{\rtlch\fcs1 \af2 \ltrch\fcs0 \f2\insrsid7931977\charrsid12600477 
\par total 750220
\par drwxrwxr-x  2 sfederman sfederman      4096 Jan 20 16:47 ./
\par drwxrwxr-x 11 sfederman sfederman     61440 Jan 20 16:45 ../
\par -rw-rw-r--  1 sfederman sfederman      1976 Jan 20 16:47 inputfile.config
\par -rw-rw-r--  1 sfederman sfederman 768143660 Jan 20 16:45 inputfile.fastq
\par -rwxrwxr-x  1 sfederman sfederman        84 Jan 20 16:47 go_inputfile*
\par sfederman@tribble:/data/inputfile/test$ }{\rtlch\fcs1 \ab\af2 \ltrch\fcs0 \b\f2\insrsid7931977\charrsid12600477 ./go_inputfile &
\par }{\rtlch\fcs1 \ab\af2\afs24 \ltrch\fcs0 \b\f2\fs24\insrsid7931977 
\par }{\rtlch\fcs1 \af5\afs24 \ltrch\fcs0 \f5\fs24\insrsid7931977 \tab Progression of the pipeline can be followed by monito
ring the log file (titled inputfile.SURPI.log, in the above example). We have also find it useful to monitor the status of the pipeline with the program }{\rtlch\fcs1 \ai\af5\afs24 \ltrch\fcs0 \i\f5\fs24\insrsid7931977 htop}{\rtlch\fcs1 \af5\afs24 
\ltrch\fcs0 \f5\fs24\insrsid7931977 .}{\rtlch\fcs1 \af0 \ltrch\fcs0 \insrsid7931977 
\par }{\*\themedata 504b0304140006000800000021009be8704ffc0000001c020000130000005b436f6e74656e745f54797065735d2e786d6cac91cb6ac3301045f785fe83d0b6d8
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+{\*\listtable{\list\listtemplateid1\listhybrid{\listlevel\levelnfc0\levelnfcn0\leveljc0\leveljcn0\levelfollow0\levelstartat1\levelspace360\levelindent0{\*\levelmarker \{decimal\}.}{\leveltext\leveltemplateid1\'02\'00.;}{\levelnumbers\'01;}\fi-360\li720\lin720 }{\listname ;}\listid1}}
+{\*\listoverridetable{\listoverride\listid1\listoverridecount0\ls1}}
+\margl1440\margr1440\vieww12240\viewh15840\viewkind1
+\deftab720
+\pard\pardeftab720\ri-720
+
+\f0\b\fs38 \cf0 SURPI\
+\pard\pardeftab720\ri-720
+
+\b0\fs24 \cf0 v1.0.7\
+April 2014
+\b \
+
+\b0 \
+\
+\pard\pardeftab720\ri-720
+\cf0 \ul \ulc0 Note:\ulnone  For the most up to date version of the SURPI source code, go to this website: http://chiulab.ucsf.edu/surpi.\
+\
+SURPI has been tested on Ubuntu 12.04. It will likely function properly on other Linux distributions, but this has not been tested.\
+\
+\ul Hardware Requirements\
+\
+\pard\pardeftab720\ri-720
+\cf0 \ulnone 	SURPI requires a machine with high RAM in order to run efficiently. This is mainly due to SNAP, which gains its speed by loading the reference databases completely into RAM. We\'92ve run SURPI successfully on machines with 60.5GB RAM. SURPI will use all cores on a machine by default, though the number of cores used can be adjusted within the config file. Much of SURPI is parallelized, so it benefits from using as many cores as possible.\
+\
+\
+The steps to install SURPI on a machine are as follows:\
+\pard\pardeftab720\li720\ri-720
+\cf0 \
+\pard\pardeftab720\li720\fi-360\ri-720
+\ls1\ilvl0\cf0 1.	Install all software dependencies\
+2.	Decompress SURPI.tar.gz, and place all files into a directory included in your $PATH\
+3.	Create the databases\
+4.	Customize certain SURPI files as shown below\
+5.	Run SURPI\
+\pard\pardeftab720\ri-720
+\cf0 \
+\pard\pardeftab720\ri-720
+
+\b\fs28 \cf0 1. Install Software Dependencies\
+\
+\pard\pardeftab720\ri-720
+
+\b0\fs24 \cf0 	The below software must be installed for SURPI to function properly.\
+\pard\pardeftab720\ri-720
+
+\b \cf0 \
+\pard\pardeftab720\ri-720
+
+\b0\fs20 \cf0 	\'95 fastQValidator\
+		http://genome.sph.umich.edu/wiki/FastQValidator\
+	\'95 Minimo (v1.6)\
+		http://sourceforge.net/projects/amos/files/amos/3.1.0/\
+	\'95 Abyss (v1.3.5)\
+		http://www.bcgsc.ca/platform/bioinfo/software/abyss\
+	\'95 RAPSearch (v2.12)\
+		http://omics.informatics.indiana.edu/mg/RAPSearch2/\
+	\'95 seqtk (v 1.0r31)\
+		https://github.com/lh3/seqtk\
+	\'95 SNAP (v0.15)\
+		http://snap.cs.berkeley.edu\
+	\'95 gt (v1.5.1)\
+		http://genometools.org/index.html\
+	\'95 fastq\
+		https://github.com/brentp/bio-playground/tree/master/reads-utils\
+	\'95 fqextract\
+		https://gist.github.com/drio/1168330\
+	\'95 cutadapt (v1.2.1)\
+		https://code.google.com/p/cutadapt/\
+	\'95 prinseq-lite.pl\
+		http://prinseq.sourceforge.net\
+	\'95 dropcache\
+		http://stackoverflow.com/questions/13646925/allowing-a-non-root-user-to-drop-cache\
+\pard\pardeftab720\ri-720
+
+\fs24 \cf0 \
+\pard\pardeftab720\ri-720
+
+\b\fs28 \cf0 2. Decompress SURPI\
+\
+	
+\b0\fs24 Use tar to decompress SURPI.tar.gz. Something like the following should work:\
+\pard\pardeftab720\ri-720
+
+\f1 \cf0 \
+\pard\pardeftab720\ri-720
+
+\f2 \cf0 		tar xvfz SURPI.tar.gz
+\f3\b\fs28 \
+\pard\pardeftab720\ri-720
+
+\f0 \cf0 \
+3. Create Databases\
+\pard\pardeftab720\ri-720
+
+\b0\fs24 \cf0 \
+	The content and creation of the SNAP databases is documented in the paper in the Reference Databases section, which is duplicated below:\
+\
+\pard\pardeftab720\ri-720\sl360\slmult1
+
+\i\fs22 \cf0 A 3.1 gigabase (Gb) human nucleotide database (human DB) was constructed from a combination of human genomic DNA (GRCh37 / hg19), rRNA (RefSeq), mRNA (RefSeq), and mitochondrial RNA (RefSeq) sequences in NCBI as of March of 2012.  The bacterial nucleotide, viral nucleotide, and viral protein databases used by SURPI in fast mode (bacterial DB, viral nucleotide DB, and viral protein DB, respectively) were also constructed from sequences in NCBI as of March of 2012.  The 3 Gb bacterial DB was constructed from all bacterial RefSeq entries and consisted of 348,922 unique accessioned sequences, each with a minimum length of 100 bp.  The 1.4 Gb viral nucleotide DB included 1,193,607 entries and was constructed by searching for all viral sequences in the 42 Gb National Center for Biotechnology Information (NCBI) nt collection using the query term \'93viridae[Organism]\'94 in BioPython.  The viral protein DB was similarly constructed by extracting viral sequences from the NCBI nr DB collection.  Index tables for SNAP (v0.15) were generated with an empirically determined default seed size of 20 for the human DB and viral nucleotide DB, and seed size of 16 for the bacterial DB.  Index tables for RAPSearch (v2.09) were generated from the viral protein DB using default parameters.\
+To generate the National Center for Biotechnology Information (NCBI) nucleotide (nt) collection (NCBI nt DB) used by SURPI in comprehensive mode, the complete 42 Gb nucleotide collection (nt) was downloaded from NCBI in January of 2013.  This collection consists of a comprehensive archive of sequences from multiple sources, including GenBank, European Molecular Biology Laboratory (EMBL), DNA Data Bank of Japan (DDBJ), and Protein Data Bank (PDB), and is the richest collection of annotated microbial sequence data publicly available.  As SNAP uses 32-bit offsets in the reference genome during hashing, the aligner restricts the size of the reference genome to an absolute maximum of  2^32 bases, or ~4.2 Gb.  Thus, the 42 Gb NCBI nt collection was first split into 29 sub-databases, each approximately 1.5 Gb in size.  Each sub-database was then indexed separately by SNAP at default parameters with a seed size of 20.  This generated 29 SNAP indexed databases, each approximately 27 GB in size, with the aggregate of all 29 databases referred to as the NCBI nt DB.
+\f4 \
+\pard\pardeftab720\ri-720\sl360\slmult1
+
+\f0\fs24 \cf0 \
+\pard\pardeftab720\ri-720
+
+\i0 \cf0 \
+\pard\pardeftab720\ri-720
+
+\b \cf0 	SNAP Databases\
+\
+\pard\pardeftab720\ri-720
+
+\b0 \cf0 		\'95 Human DB\
+\
+\pard\pardeftab720\ri-720
+
+\b \cf0 			Comprehensive Mode\
+\pard\pardeftab720\ri-720
+
+\b0 \cf0 \
+			\'95 NCBI nr DB\
+			\'95 Viral protein DB\
+			\'95 NCBI nt DB\
+\
+\pard\pardeftab720\ri-720
+
+\b \cf0 			Fast Mode\
+\pard\pardeftab720\ri-720
+
+\b0 \cf0 	\
+			\'95 Viral nt DB\
+			\'95 Bacterial DB\
+\pard\pardeftab720\ri-720
+
+\b \cf0 	\
+	Taxonomy Databases\
+\
+\pard\pardeftab720\ri-720
+
+\b0 \cf0 	These databases can be created using the shell script titled: 
+\i create_taxonomy_db.sh
+\i0 . Depending on your internet connection speed, and the speed of your system, this script may take several hours to complete creation of the database.\
+\
+		\'95 gi_taxid_prot.db\
+		\'95 gi_taxid_nucl.db\
+		\'95 names_nodes_scientific.db\
+\
+	To use this script, execute the create_taxonomy_db.sh program. This script will download the necessary data from NCBI, and generate the above 3 databases.\
+\
+\pard\pardeftab720\ri-720
+
+\b\fs28 \cf0 \
+4. SURPI file customization\
+\
+\pard\pardeftab720\ri-720
+
+\b0\fs24 \cf0 	Below are some notes on files that may need to be modified to run SURPI.\
+\
+\'95 
+\b cutadapt_quality.csh
+\b0  - specify location of /tmp folder\
+\
+	
+\i cutadapt_quality.csh
+\i0  defaults to using /tmp for temporary file storage. If using a system with limited space in this location, change the location to a directory with more storage space available.\
+\
+\'95 
+\b taxonomy_lookup_embedded.pl\
+
+\b0 \
+	Set database_directory to the location of the taxonomy databases created below.\
+\
+\'95 
+\b tweet.pl\
+\
+	
+\b0 SURPI has the ability to send out notifications via Twitter at various stages within the pipeline. If this feature is desired, you will need to set up a Twitter application within your account for this purpose. See {\field{\*\fldinst{HYPERLINK "https://dev.twitter.com/apps"}}{\fldrslt https://dev.twitter.com/apps}} for more details.\
+\
+	Once an application has been set up, fill in the below parameters to the 
+\b tweet.pl
+\b0  program.\
+		
+\f2 consumer_key\
+		consumer_secret\
+		oauth_token\
+		oauth_token_secret\
+
+\f0 \
+	\'95 perl modules to install\
+		
+\f2 Net::Twitter::Lite::WithAPIv1_1\
+		Net::OAuth
+\f0 \
+\
+\
+\pard\pardeftab720\ri-720
+
+\b\fs28 \cf0 5. Run SURPI\
+\pard\pardeftab720\ri-720
+
+\b0\fs24 \cf0 \
+	To run SURPI, execute the following in a directory containing your FASTQ input file.\
+\
+	1. This command will create the necessary config file to run SURPI:\
+\
+\pard\pardeftab720\ri-720
+
+\f2 \cf0 		SURPI.sh -z <INPUTFILE>\
+\
+\pard\pardeftab720\ri-720
+
+\f0 \cf0 	After typing the above line, a config file and a \'93go\'94 file will be created. The config file will contain default values for many parameters - these parameters may need to be modified depending on your environment. The config file has descriptions of the options allowed by SURPI.\
+\
+	2. Once the config file has been customized, the SURPI pipeline can be initiated by typing in the name of the go file that was created. Below is an example (boldfaced text is inputted by the user):\
+\
+\pard\pardeftab720\ri-720
+
+\f2\fs20 \cf0 sfederman@tribble:/data/inputfile/test$ 
+\f3\b ls -laF
+\f2\b0 \
+total 750212\
+drwxrwxr-x  2 sfederman sfederman      4096 Jan 20 16:45 ./\
+drwxrwxr-x 11 sfederman sfederman     61440 Jan 20 16:45 ../\
+-rw-rw-r--  1 sfederman sfederman 768143660 Jan 20 16:45 inputfile.fastq\
+sfederman@tribble:/data/inputfile/test$ 
+\f3\b SURPI.sh -z inputfile.fastq\
+
+\f2\b0 \
+inputfile.config generated. Please edit it to contain the proper parameters for your analysis.\
+go_ inputfile generated. Initiate the pipeline by running this program. (./go_inputfile)\
+\
+sfederman@tribble:/data/inputfile/test$ 
+\f3\b ls -laF
+\f2\b0 \
+total 750220\
+drwxrwxr-x  2 sfederman sfederman      4096 Jan 20 16:47 ./\
+drwxrwxr-x 11 sfederman sfederman     61440 Jan 20 16:45 ../\
+-rw-rw-r--  1 sfederman sfederman      1976 Jan 20 16:47 inputfile.config\
+-rw-rw-r--  1 sfederman sfederman 768143660 Jan 20 16:45 inputfile.fastq\
+-rwxrwxr-x  1 sfederman sfederman        84 Jan 20 16:47 go_inputfile*\
+sfederman@tribble:/data/inputfile/test$ 
+\f3\b ./go_inputfile &\
+\pard\pardeftab720\ri-720
+
+\fs24 \cf0 \
+\pard\pardeftab720\ri-720
+
+\f0\b0 \cf0 	Progression of the pipeline can be followed by monitoring the log file (titled inputfile.SURPI.log, in the above example). We have also find it useful to monitor the status of the pipeline with the program 
+\i htop
+\i0 .
+\f5\fs20 \
+}
\ No newline at end of file
diff --git a/Readme.txt b/Readme.txt
index 3e28eae..74e0f3c 100644
--- a/Readme.txt
+++ b/Readme.txt
@@ -1,6 +1,6 @@
 SURPI
-v1.0.0
-March 2014
+v1.0.7
+April 2014
 
 
 Note: For the most up to date version of the SURPI source code, go to this website: http://chiulab.ucsf.edu/surpi.
@@ -9,16 +9,16 @@ SURPI has been tested on Ubuntu 12.04. It will likely function properly on other
 
 Hardware Requirements
 
-	SURPI requires a machine with high RAM in order to run efficiently. This is mainly due to SNAP, which gains its speed by loading the reference databases completely into RAM. We've run SURPI successfully on machines with 60.5GB RAM. SURPI will use all cores on a machine by default, though the number of cores used can be adjusted within the config file. Much of SURPI is parallelized, so it benefits from using as many cores as possible.
+	SURPI requires a machine with high RAM in order to run efficiently. This is mainly due to SNAP, which gains its speed by loading the reference databases completely into RAM. We’ve run SURPI successfully on machines with 60.5GB RAM. SURPI will use all cores on a machine by default, though the number of cores used can be adjusted within the config file. Much of SURPI is parallelized, so it benefits from using as many cores as possible.
 
 
 The steps to install SURPI on a machine are as follows:
 
-1. Install all software dependencies
-2. Decompress SURPI.tar.gz, and place all files into a directory included in your $PATH
-3. Create the databases
-4. Customize certain SURPI files as shown below
-5. Run SURPI
+1.	Install all software dependencies
+2.	Decompress SURPI.tar.gz, and place all files into a directory included in your $PATH
+3.	Create the databases
+4.	Customize certain SURPI files as shown below
+5.	Run SURPI
 
 1. Install Software Dependencies
 
@@ -59,7 +59,7 @@ The steps to install SURPI on a machine are as follows:
 
 	The content and creation of the SNAP databases is documented in the paper in the Reference Databases section, which is duplicated below:
 
-A 3.1 gigabase (Gb) human nucleotide database (human DB) was constructed from a combination of human genomic DNA (GRCh37 / hg19), rRNA (RefSeq), mRNA (RefSeq), and mitochondrial RNA (RefSeq) sequences in NCBI as of March of 2012.  The bacterial nucleotide, viral nucleotide, and viral protein databases used by SURPI in fast mode (bacterial DB, viral nucleotide DB, and viral protein DB, respectively) were also constructed from sequences in NCBI as of March of 2012.  The 3 Gb bacterial DB was constructed from all bacterial RefSeq entries and consisted of 348,922 unique accessioned sequences, each with a minimum length of 100 bp.  The 1.4 Gb viral nucleotide DB included 1,193,607 entries and was constructed by searching for all viral sequences in the 42 Gb National Center for Biotechnology Information (NCBI) nt collection using the query term "viridae[Organism]" in BioPython.  The viral protein DB was similarly constructed by extracting viral sequences from the NCBI nr DB collection.  Index tables for SNAP (v0.15) were generated with an empirically determined default seed size of 20 for the human DB and viral nucleotide DB, and seed size of 16 for the bacterial DB.  Index tables for RAPSearch (v2.09) were generated from the viral protein DB using default parameters.
+A 3.1 gigabase (Gb) human nucleotide database (human DB) was constructed from a combination of human genomic DNA (GRCh37 / hg19), rRNA (RefSeq), mRNA (RefSeq), and mitochondrial RNA (RefSeq) sequences in NCBI as of March of 2012.  The bacterial nucleotide, viral nucleotide, and viral protein databases used by SURPI in fast mode (bacterial DB, viral nucleotide DB, and viral protein DB, respectively) were also constructed from sequences in NCBI as of March of 2012.  The 3 Gb bacterial DB was constructed from all bacterial RefSeq entries and consisted of 348,922 unique accessioned sequences, each with a minimum length of 100 bp.  The 1.4 Gb viral nucleotide DB included 1,193,607 entries and was constructed by searching for all viral sequences in the 42 Gb National Center for Biotechnology Information (NCBI) nt collection using the query term “viridae[Organism]” in BioPython.  The viral protein DB was similarly constructed by extracting viral sequences from the NCBI nr DB collection.  Index tables for SNAP (v0.15) were generated with an empirically determined default seed size of 20 for the human DB and viral nucleotide DB, and seed size of 16 for the bacterial DB.  Index tables for RAPSearch (v2.09) were generated from the viral protein DB using default parameters.
 To generate the National Center for Biotechnology Information (NCBI) nucleotide (nt) collection (NCBI nt DB) used by SURPI in comprehensive mode, the complete 42 Gb nucleotide collection (nt) was downloaded from NCBI in January of 2013.  This collection consists of a comprehensive archive of sequences from multiple sources, including GenBank, European Molecular Biology Laboratory (EMBL), DNA Data Bank of Japan (DDBJ), and Protein Data Bank (PDB), and is the richest collection of annotated microbial sequence data publicly available.  As SNAP uses 32-bit offsets in the reference genome during hashing, the aligner restricts the size of the reference genome to an absolute maximum of  2^32 bases, or ~4.2 Gb.  Thus, the 42 Gb NCBI nt collection was first split into 29 sub-databases, each approximately 1.5 Gb in size.  Each sub-database was then indexed separately by SNAP at default parameters with a seed size of 20.  This generated 29 SNAP indexed databases, each approximately 27 GB in size, with the aggregate of all 29 databases referred to as the NCBI nt DB.
 
 
@@ -122,9 +122,9 @@ To generate the National Center for Biotechnology Information (NCBI) nucleotide
 
 	1. This command will create the necessary config file to run SURPI:
 
-		SURPI_v1.0.0.sh -z <INPUTFILE>
+		SURPI.sh -z <INPUTFILE>
 
-	After typing the above line, a config file and a "go" file will be created. The config file will contain default values for many parameters - these parameters may need to be modified depending on your environment. The config file has descriptions of the options allowed by SURPI.
+	After typing the above line, a config file and a “go” file will be created. The config file will contain default values for many parameters - these parameters may need to be modified depending on your environment. The config file has descriptions of the options allowed by SURPI.
 
 	2. Once the config file has been customized, the SURPI pipeline can be initiated by typing in the name of the go file that was created. Below is an example (boldfaced text is inputted by the user):
 
@@ -133,7 +133,7 @@ total 750212
 drwxrwxr-x  2 sfederman sfederman      4096 Jan 20 16:45 ./
 drwxrwxr-x 11 sfederman sfederman     61440 Jan 20 16:45 ../
 -rw-rw-r--  1 sfederman sfederman 768143660 Jan 20 16:45 inputfile.fastq
-sfederman@tribble:/data/inputfile/test$ SURPI_v1.0.0.sh -z inputfile.fastq
+sfederman@tribble:/data/inputfile/test$ SURPI.sh -z inputfile.fastq
 
 inputfile.config generated. Please edit it to contain the proper parameters for your analysis.
 go_ inputfile generated. Initiate the pipeline by running this program. (./go_inputfile)
diff --git a/SURPI.sh b/SURPI.sh
index a234846..71959dc 100755
--- a/SURPI.sh
+++ b/SURPI.sh
@@ -682,7 +682,7 @@ then
 	END40=$(date +%s)
 	diff=$(( END40 - START40 ))
 fi
-#######RAPSEARCH#####
+#######RAPSearch#####
 #################### RAPSearch to Vir ###########
 if [ $run_mode = "Comprehensive" ]
 then
@@ -690,97 +690,97 @@ then
 	then
 		if [ -f "$basef.NT.snap.unmatched.uniq.fl.fasta" ]
 		then
-			echo "############# RAPSEARCH to ${RAPSearchDB_Vir} ON NT-UNMATCHED SEQUENCES #################"
+			echo "############# RAPSearch to ${RAPSearchDB_Vir} ON NT-UNMATCHED SEQUENCES #################"
 			dropcache
 			echo -n "Starting: RAPSearch $basef.NT.snap.unmatched.uniq.fl.fasta "
 			date
 			START14=$(date +%s)
-			echo "rapsearch -q $basef.NT.snap.unmatched.uniq.fl.fasta -d ${RAPSearch_db_directory}/${RAPSearchDB_Vir} -o $basef.$rapsearch_database.RAPsearch.e1 -z $cores -e $ecutoff_Vir -v 1 -b 1 -t N >& $basef.$rapsearch_database.RAPSearch.log"
-			rapsearch -q "$basef.NT.snap.unmatched.uniq.fl.fasta" -d ${RAPSearch_db_directory}/${RAPSearchDB_Vir} -o $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir} -z "$cores" -e "$ecutoff_Vir" -v 1 -b 1 -t N >& $basef.$rapsearch_database.RAPSearch.log
+			echo "rapsearch -q $basef.NT.snap.unmatched.uniq.fl.fasta -d ${RAPSearch_db_directory}/${RAPSearchDB_Vir} -o $basef.$rapsearch_database.RAPSearch.e1 -z $cores -e $ecutoff_Vir -v 1 -b 1 -t N >& $basef.$rapsearch_database.RAPSearch.log"
+			rapsearch -q "$basef.NT.snap.unmatched.uniq.fl.fasta" -d ${RAPSearch_db_directory}/${RAPSearchDB_Vir} -o $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir} -z "$cores" -e "$ecutoff_Vir" -v 1 -b 1 -t N >& $basef.$rapsearch_database.RAPSearch.log
 			echo -n "Done RAPSearch: "
 			date
 			END14=$(date +%s)
 			diff=$(( END14 - START14 ))
 			echo "RAPSearch to Vir Took $diff seconds"
-			echo -n "Starting: add FASTA sequences to RAPsearch m8 output file "
+			echo -n "Starting: add FASTA sequences to RAPSearch m8 output file "
 			date
 			START15=$(date +%s)
-			sed -i '/^#/d' $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8
-			seqtk subseq $basef.NT.snap.unmatched.uniq.fl.fasta $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8 > $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta
+			sed -i '/^#/d' $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8
+			seqtk subseq $basef.NT.snap.unmatched.uniq.fl.fasta $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8 > $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta
 
-			sed '/>/d' $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta >  $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta.seq
-			paste $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8 $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta.seq > $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.addseq.m8
-			taxonomy_lookup.pl $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.addseq.m8 blast prot $cores $taxonomy_db_directory
-			mv $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.addseq.all.annotated $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated
+			sed '/>/d' $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta >  $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta.seq
+			paste $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8 $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta.seq > $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.addseq.m8
+			taxonomy_lookup.pl $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.addseq.m8 blast prot $cores $taxonomy_db_directory
+			mv $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.addseq.all.annotated $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated
 	
-			table_generator.sh $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated RAP Y Y Y Y
-			echo -n "Done: converting RAPsearch Vir output to fasta "
+			table_generator.sh $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated RAP Y Y Y Y
+			echo -n "Done: converting RAPSearch Vir output to fasta "
 			date
 			END15=$(date +%s)
 			diff=$(( END15 - START15 ))
-			echo "converting RAPsearch Vir output to fasta sequences Took $diff seconds" | tee -a timing.$basef.log
-			cat "$basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta" "all.$basef.NT.snap.unmatched_addVir_uniq.fasta.unitigs.cut${length}.${contigcutoff}-mini.fa" > "$basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta"
+			echo "converting RAPSearch Vir output to fasta sequences Took $diff seconds" | tee -a timing.$basef.log
+			cat "$basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta" "all.$basef.NT.snap.unmatched_addVir_uniq.fasta.unitigs.cut${length}.${contigcutoff}-mini.fa" > "$basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta"
 		else
-			echo "Cannot run viral RAPSearch - necessary input file ($basef.$rapsearch_database.RAPsearch.e$ecutoff_Vir.m8) does not exist"
+			echo "Cannot run viral RAPSearch - necessary input file ($basef.$rapsearch_database.RAPSearch.e$ecutoff_Vir.m8) does not exist"
 			echo "concatenating RAPSearchvirus output and Contigs"
 		fi
 		echo "############# Cleanup RAPSearch Vir by RAPSearch to NR #################"
-		if [ -f $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta ]
+		if [ -f $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta ]
 		then
-			echo -n "Starting: RAPSearch to $RAPSearchDB_NR of $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta :"
+			echo -n "Starting: RAPSearch to $RAPSearchDB_NR of $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta :"
 			date
 			START16=$(date +%s)
-			rapsearch -q $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta -d ${RAPSearch_db_directory}/${RAPSearchDB_NR} -o $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR} -z $cores -e $ecutoff_NR -v 1 -b 1 -t N -a T
+			rapsearch -q $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta -d ${RAPSearch_db_directory}/${RAPSearchDB_NR} -o $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR} -z $cores -e $ecutoff_NR -v 1 -b 1 -t N -a T
 			echo "rapsearch to nr done"
-			sed -i '/^#/d' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8
+			sed -i '/^#/d' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8
 			echo "removed extra #"
 			END16=$(date +%s)
 			diff=$(( END16 - START16 ))
-			echo "$basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR} RAPSearch to NR Took $diff seconds" | tee -a timing.$basef.log
-			echo -n "Starting: Seq retrieval and Taxonomy $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}  :"
+			echo "$basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR} RAPSearch to NR Took $diff seconds" | tee -a timing.$basef.log
+			echo -n "Starting: Seq retrieval and Taxonomy $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}  :"
 			date
 			START17=$(date +%s)
-			seqtk subseq $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8  > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8.fasta
+			seqtk subseq $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8  > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8.fasta
 			echo " $(date) retrieved sequences"
-			cat $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8.fasta | awk '{if (substr($0,1,1)==">"){if (p){print "\n";} print $0} else printf("%s",$0);p++;}END{print "\n"}' | sed '/^$/d' | sed '/>/d' > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8.fasta.seq
-			paste $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e$ecutoff_Vir.NR.e${ecutoff_NR}.m8 $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8.fasta.seq > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.addseq.m8
+			cat $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8.fasta | awk '{if (substr($0,1,1)==">"){if (p){print "\n";} print $0} else printf("%s",$0);p++;}END{print "\n"}' | sed '/^$/d' | sed '/>/d' > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8.fasta.seq
+			paste $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e$ecutoff_Vir.NR.e${ecutoff_NR}.m8 $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.m8.fasta.seq > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.addseq.m8
 			echo "made addseq file $(date)"
 			echo "############# RAPSearch Taxonomy $(date)"
-			taxonomy_lookup.pl $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.addseq.m8 blast prot $cores $taxonomy_db_directory
-			cp $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.addseq.all.annotated $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated
+			taxonomy_lookup.pl $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.addseq.m8 blast prot $cores $taxonomy_db_directory
+			cp $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.addseq.all.annotated $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated
 			echo "retrieved taxonomy"
-			grep "Viruses" $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated
-			egrep "^contig" $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated > $basef.Contigs.NR.RAPSearch.e${ecutoff_NR}.annotated
+			grep "Viruses" $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated
+			egrep "^contig" $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated > $basef.Contigs.NR.RAPSearch.e${ecutoff_NR}.annotated
 			echo "extracted RAPSearch taxonomy $(date) "
 			echo "Starting Readcount table $(date)"
-			table_generator.sh $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated RAP Y Y Y Y
+			table_generator.sh $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated RAP Y Y Y Y
 			table_generator.sh $basef.Contigs.NR.RAPSearch.e${ecutoff_NR}.annotated RAP Y Y Y Y
 			#allow contigs to be incorporated into coverage maps by making contig barcodes the same as non-contig barcodes (removing the @)
-			sed 's/@//g' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated.bar.inc
+			sed 's/@//g' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated.bar.inc
 			echo "making coverage maps"
 			# coverage_generator_bp.sh (divides each fasta file into $cores cores then runs BLASTn using one core each.
-			coverage_generator_bp.sh $basef.NT.snap.matched.fl.Viruses.annotated $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated.bar.inc $eBLASTn $cores 10 1 $basef
+			coverage_generator_bp.sh $basef.NT.snap.matched.fl.Viruses.annotated $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated.bar.inc $eBLASTn $cores 10 1 $basef
 
-			awk '{print$1}'  $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated > $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated.header
-			awk '{print$1}' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated.header
+			awk '{print$1}'  $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated > $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated.header
+			awk '{print$1}' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated.header
 			# find headers in viral rapsearch that are no longer found in rapsearch to nr 
-			sort $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated.header $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated.header | uniq -d | sort $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated.header - | uniq -u > $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated.not.in.NR.header
-			rm -r $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated.header $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated
-			split -l 400 -a 6 $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated.not.in.NR.header $basef.not.in.NR.
+			sort $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated.header $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated.header | uniq -d | sort $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated.header - | uniq -u > $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated.not.in.NR.header
+			rm -r $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated.header $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.annotated
+			split -l 400 -a 6 $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated.not.in.NR.header $basef.not.in.NR.
 			for f in $basef.not.in.NR.[a-z][a-z][a-z][a-z][a-z][a-z]
-			do grep  -f "$f" $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated > $f.annotated
+			do grep  -f "$f" $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated > $f.annotated
 			done
-			cat $basef.not.in.NR.[a-z][a-z][a-z][a-z][a-z][a-z].annotated > $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated.not.in.NR.annotated
+			cat $basef.not.in.NR.[a-z][a-z][a-z][a-z][a-z][a-z].annotated > $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated.not.in.NR.annotated
 			rm -r $basef.not.in.NR.[a-z][a-z][a-z][a-z][a-z][a-z]
 			rm -r $basef.not.in.NR.[a-z][a-z][a-z][a-z][a-z][a-z].annotated
-			table_generator.sh $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated.not.in.NR.annotated RAP N Y N N
+			table_generator.sh $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated.not.in.NR.annotated RAP N Y N N
 			
 		
 			END17=$(date +%s)
 			diff=$(( END17 - START17 ))
 			echo "RAPSearch seq retrieval, taxonomy and readcount Took $diff seconds" | tee -a timing.$basef.log
 		else
-			echo "Cannot run RAPSearch to NR - necessary input file ($basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta) does not exist"
+			echo "Cannot run RAPSearch to NR - necessary input file ($basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta) does not exist"
 		fi
 	fi
 	##################RAPSearch to NR #######
@@ -790,40 +790,40 @@ then
 		cat "$basef.NT.snap.unmatched.uniq.fl.fasta" "all.$basef.NT.snap.unmatched_addVir_uniq.fasta.unitigs.cut${length}.${contigcutoff}-mini.fa" > "$basef.Contigs.NT.snap.unmatched.uniq.fl.fasta"
 		if [ -f $basef.Contigs.NT.snap.unmatched.uniq.fl.fasta ]
 		then
-			echo "############# RAPSEARCH to NR #################"
+			echo "############# RAPSearch to NR #################"
 			echo -n "Starting: RAPSearch to NR $basef.Contigs.NT.snap.unmatched.uniq.fl.fasta"
 			date
 			START16=$(date +%s)
-			rapsearch -q $basef.Contigs.NT.snap.unmatched.uniq.fl.fasta -d ${RAPSearch_db_directory}/${RAPSearchDB_NR} -o $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}  -z $cores -e $ecutoff_NR -v 1 -b 1 -t N -a T
+			rapsearch -q $basef.Contigs.NT.snap.unmatched.uniq.fl.fasta -d ${RAPSearch_db_directory}/${RAPSearchDB_NR} -o $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}  -z $cores -e $ecutoff_NR -v 1 -b 1 -t N -a T
 			echo "rapsearch  to nr done"
-			sed -i '/^#/d' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.m8
+			sed -i '/^#/d' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.m8
 			echo "removed extra #"
 			END16=$(date +%s)
 			diff=$(( END16 - START16 ))
-			echo "$basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR} RAPSearch to NR Took $diff seconds" | tee -a timing.$basef.log
-			echo -n "Starting: Seq retrieval and Taxonomy $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}"
+			echo "$basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR} RAPSearch to NR Took $diff seconds" | tee -a timing.$basef.log
+			echo -n "Starting: Seq retrieval and Taxonomy $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}"
 			date
 			START17=$(date +%s)
-			seqtk subseq $basef.Contigs.NT.snap.unmatched.uniq.fl.fasta $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.m8 > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.m8.fasta
+			seqtk subseq $basef.Contigs.NT.snap.unmatched.uniq.fl.fasta $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.m8 > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.m8.fasta
 			echo " $(date) retrieved sequences"
-			sed '/>/d' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.m8.fasta > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.m8.fasta.seq
-			paste $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.m8 $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.m8.fasta.seq > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.addseq.m8
+			sed '/>/d' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.m8.fasta > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.m8.fasta.seq
+			paste $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.m8 $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.m8.fasta.seq > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.addseq.m8
 			echo "made addseq file $(date)"
 			echo "############# RAPSearch Taxonomy $(date)"
-			taxonomy_lookup.pl $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.addseq.m8 blast prot $cores $taxonomy_db_directory
-			cp $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.addseq.all.annotated $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.annotated
+			taxonomy_lookup.pl $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.addseq.m8 blast prot $cores $taxonomy_db_directory
+			cp $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.addseq.all.annotated $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.annotated
 			echo "retrieved taxonomy"
-			grep "Viruses" $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.Viruses.annotated
-			egrep "^contig" $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.annotated > $basef.Contigs.$rapsearch_database.RAPsearch.e${ecutoff_NR}.annotated 
+			grep "Viruses" $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.Viruses.annotated
+			egrep "^contig" $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.annotated > $basef.Contigs.$rapsearch_database.RAPSearch.e${ecutoff_NR}.annotated 
 			echo "extracted RAPSearch taxonomy $(date) "
 			echo "Starting Readcount table $(date)"
-			table_generator.sh $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.Viruses.annotated RAP Y Y Y Y
-			grep -v Viruses $basef.Contigs.$rapsearch_database.RAPsearch.e${ecutoff_NR}.annotated > $basef.Contigs.$rapsearch_database.RAPsearch.e${ecutoff_NR}.noVir.annotated
-			table_generator.sh $basef.Contigs.$rapsearch_database.RAPsearch.e${ecutoff_NR}.noVir.annotated RAP N Y N N
-			sed 's/@//g' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.Viruses.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.Viruses.annotated.bar.inc
+			table_generator.sh $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.Viruses.annotated RAP Y Y Y Y
+			grep -v Viruses $basef.Contigs.$rapsearch_database.RAPSearch.e${ecutoff_NR}.annotated > $basef.Contigs.$rapsearch_database.RAPSearch.e${ecutoff_NR}.noVir.annotated
+			table_generator.sh $basef.Contigs.$rapsearch_database.RAPSearch.e${ecutoff_NR}.noVir.annotated RAP N Y N N
+			sed 's/@//g' $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.Viruses.annotated > $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.Viruses.annotated.bar.inc
 			echo "making coverage maps"
 			
-			coverage_generator_bp.sh $basef.NT.snap.matched.fl.Viruses.annotated $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_NR}.Viruses.annotated.bar.inc $eBLASTn 10 10 1 $basef
+			coverage_generator_bp.sh $basef.NT.snap.matched.fl.Viruses.annotated $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_NR}.Viruses.annotated.bar.inc $eBLASTn 10 10 1 $basef
 			END17=$(date +%s)
 			diff=$(( END17 - START17 ))
 			echo "RAPSearch seq retrieval, taxonomy and table readcount and coverage Took $diff seconds" | tee -a timing.$basef.log
@@ -848,7 +848,7 @@ if [ "$headerid_top" == "$headerid_bottom" ]
 then
 	headerid=$(head -1 $basef.fastq | cut -c1-4 | sed 's/@//g')
 	echo " headerid_top $headerid_top = headerid_bottom $headerid_bottom and headerid = $headerid"
-	readcount.sh $basef $headerid Y $basef.fastq $basef.preprocessed.fastq $basef.preprocessed.s20.h250n25d12xfu.human.snap.unmatched.fastq $basef.NT.snap.matched.fulllength.all.annotated.sorted $basef.NT.snap.matched.fl.Viruses.annotated $basef.NT.snap.matched.fl.Bacteria.annotated $basef.NT.snap.matched.fl.nonChordatEuk.annotated $basef.NT.snap.unmatched.sam $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated  
+	readcount.sh $basef $headerid Y $basef.fastq $basef.preprocessed.fastq $basef.preprocessed.s20.h250n25d12xfu.human.snap.unmatched.fastq $basef.NT.snap.matched.fulllength.all.annotated.sorted $basef.NT.snap.matched.fl.Viruses.annotated $basef.NT.snap.matched.fl.Bacteria.annotated $basef.NT.snap.matched.fl.nonChordatEuk.annotated $basef.NT.snap.unmatched.sam $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.NR.e${ecutoff_NR}.Viruses.annotated  
 	echo -n " Done: generating readcounts.$basef.log report"
 	date
 	END17=$(date +%s)
@@ -981,17 +981,17 @@ mv all.bar*.$basef.NT.snap.unmatched_addVir_uniq.fasta.unitigs.cut*.fa deNovoASS
 mv all.bar*.$basef.NT.snap.unmatched_addVir_uniq.fasta.unitigs.fa deNovoASSEMBLY_$basef
 mv toAmos.error deNovoASSEMBLY_$basef
 
-mv $basef.Contigs.and.NTunmatched.Vir.RAPsearch.e*.m*.fasta TRASH_$basef
-mv $basef.Contigs.and.NTunmatched.Vir.RAPsearch.e*.NR.e*.addseq.* TRASH_$basef
-mv $basef.Contigs.and.NTunmatched.Vir.RAPsearch.e*.NR.e*.aln TRASH_$basef
-mv $basef.Contigs.and.NTunmatched.Vir.RAPsearch.e*.NR.e*.m8.fast* TRASH_$basef
-mv $basef.Viral.RAPsearch.e1.m8.fasta.seq
+mv $basef.Contigs.and.NTunmatched.Vir.RAPSearch.e*.m*.fasta TRASH_$basef
+mv $basef.Contigs.and.NTunmatched.Vir.RAPSearch.e*.NR.e*.addseq.* TRASH_$basef
+mv $basef.Contigs.and.NTunmatched.Vir.RAPSearch.e*.NR.e*.aln TRASH_$basef
+mv $basef.Contigs.and.NTunmatched.Vir.RAPSearch.e*.NR.e*.m8.fast* TRASH_$basef
+mv $basef.Viral.RAPSearch.e1.m8.fasta.seq
 
-mv $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.addseq.m8 TRASH_$basef
-mv $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.addseq.gi TRASH_$basef
-mv $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.addseq.gi.uniq TRASH_$basef 
-mv $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.addseq.gi.taxonomy TRASH_$basef
-mv $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.annotated.header TRASH_$basef
+mv $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.addseq.m8 TRASH_$basef
+mv $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.addseq.gi TRASH_$basef
+mv $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.addseq.gi.uniq TRASH_$basef 
+mv $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.addseq.gi.taxonomy TRASH_$basef
+mv $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.annotated.header TRASH_$basef
 
 mv $basef.NT.snap.matched.fulllength.gi.uniq TRASH_$basef
 mv $basef.Vir.RAPSearch.e*.aln TRASH_$basef
@@ -1000,8 +1000,8 @@ mv $basef.Vir.RAPSearch.e*.m8.fasta TRASH_$basef
 mv $basef.Contigs.and.NTunmatched.Vir.RAPSearch.e*.NR.e*.m8 DATASETS_$basef
 mv $basef.Vir.RAPSearch.e*.m8 DATASETS_$basef
 
-mv $basef.Contigs.and.NTunmatched.Vir.RAPsearch.e*.NR.e*.annotated OUTPUT_$basef
-mv $basef.Contigs.and.NTunmatched.Vir.RAPsearch.e*.NR.e*.Viruses.annotated OUTPUT_$basef
+mv $basef.Contigs.and.NTunmatched.Vir.RAPSearch.e*.NR.e*.annotated OUTPUT_$basef
+mv $basef.Contigs.and.NTunmatched.Vir.RAPSearch.e*.NR.e*.Viruses.annotated OUTPUT_$basef
 mv $basef.Contigs.NR.RAPSearch.e*.annotated OUTPUT_$basef
 mv $basef.quality OUTPUT_$basef
 
@@ -1011,21 +1011,21 @@ mv bar*$basef*.pdf OUTPUT_$basef
 #mv *bar*$basef* COVERAGEMAPS_$basef
 mv genus.bar*$basef.plotting TRASH_$basef
 mv genus.bar*$basef.Blastn.fasta OUTPUT_$basef
-mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.addseq.all.annotated TRASH_$basef
+mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.addseq.all.annotated TRASH_$basef
 mv *.annotated OUTPUT_$basef
 mv $basef.Contigs.NT.snap.unmatched.uniq.fl.fasta DATASETS_$basef
-mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e*.addseq* TRASH_$basef
-mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e*.aln TRASH_$basef
-mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e*.m8 DATASETS_$basef
-mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e*.m8.fasta TRASH_$basef
-mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e*.m8.fasta.seq TRASH_$basef
-mv $basef.$rapsearch_database.RAPsearch.e*.m8.fasta.seq TRASH_$basef
-mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPsearch.e*.Viruses.annotated.bar.inc TRASH_$basef
+mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e*.addseq* TRASH_$basef
+mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e*.aln TRASH_$basef
+mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e*.m8 DATASETS_$basef
+mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e*.m8.fasta TRASH_$basef
+mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e*.m8.fasta.seq TRASH_$basef
+mv $basef.$rapsearch_database.RAPSearch.e*.m8.fasta.seq TRASH_$basef
+mv $basef.Contigs.and.NTunmatched.$rapsearch_database.RAPSearch.e*.Viruses.annotated.bar.inc TRASH_$basef
 mv $basef.snap.unmatched_addVir_uniq.fasta.dir deNovoASSEMBLY_$basef
 
-mv $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.aln TRASH_$basef
-mv $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8 DATASETS_$basef
-mv $basef.$rapsearch_database.RAPsearch.e${ecutoff_Vir}.m8.fasta TRASH_$basef
+mv $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.aln TRASH_$basef
+mv $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8 DATASETS_$basef
+mv $basef.$rapsearch_database.RAPSearch.e${ecutoff_Vir}.m8.fasta TRASH_$basef
 
 cp SURPI.$basef.log OUTPUT_$basef
 cp SURPI.$basef.err OUTPUT_$basef
diff --git a/abyss_minimus.sh b/abyss_minimus.sh
index 0a92494..8ab1ddc 100755
--- a/abyss_minimus.sh
+++ b/abyss_minimus.sh
@@ -126,20 +126,20 @@ echo " barcode concatenation Took $diff s"
 # cleaning up files by organizing directories, moving files into directories, and removing temporary files
 mkdir $1.dir
 mv bar*$1*.fa $1.dir
-mv all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPsearch.m8 $1.dir
-rm -f all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPsearch.aln
-rm -f all.$1.contigs.abyssmini.e1.NR.RAPsearch.m8.noheader
-rm -f all.$1.contigs.abyssmini.e1.NR.RAPsearch.m8.noheader.seq
-rm -f all.$1.contigs.abyssmini.e1.NR.RAPsearch.m8.noheader 
-rm -f all.$1.contigs.abyssmini.e1.NR.RAPsearch.m8.noheader.ex.fa
+mv all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPSearch.m8 $1.dir
+rm -f all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPSearch.aln
+rm -f all.$1.contigs.abyssmini.e1.NR.RAPSearch.m8.noheader
+rm -f all.$1.contigs.abyssmini.e1.NR.RAPSearch.m8.noheader.seq
+rm -f all.$1.contigs.abyssmini.e1.NR.RAPSearch.m8.noheader 
+rm -f all.$1.contigs.abyssmini.e1.NR.RAPSearch.m8.noheader.ex.fa
 rm -f all.$1.unitigs.cut$2-contigs.sortlen.seq
 rm -f all-contigs*
 rm -f all.bar*.$1.unitigs.cut$2-minim.fa
 rm -f $1.barcodes
-rm -f all.$1.contigs.abyssmini.e1.NR.RAPsearch.m8.noheader.fasta
-rm -f all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPsearch.addseq.gi
-rm -f all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPsearch.addseq.gi.uniq
-rm -f all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPsearch.addseq.gi.taxonomy
+rm -f all.$1.contigs.abyssmini.e1.NR.RAPSearch.m8.noheader.fasta
+rm -f all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPSearch.addseq.gi
+rm -f all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPSearch.addseq.gi.uniq
+rm -f all.$1.contigs.abyssmini.cut$2.$3.e1.NR.RAPSearch.addseq.gi.taxonomy
 rm -f bar#*.$1_*
 rm -f bar#*$1*fasta
 rm -f *$1.unitigs.cut$2.fa.runAmos.log
diff --git a/coverage_generator_bp.sh b/coverage_generator_bp.sh
index 668703b..259a463 100755
--- a/coverage_generator_bp.sh
+++ b/coverage_generator_bp.sh
@@ -7,7 +7,7 @@
 #	University of California, San Francisco
 #	January, 2014
 #
-# input annotated sam file (variable 1) and annotated RAPsearch file (variable 7) , output ps and pdf files (as well as intermediary text report files). For each barcode, the best coverage map for each genus identified in the dataset is shown. Reads contributing to coverage map are derived from assignments present in the 2 input files
+# input annotated sam file (variable 1) and annotated RAPSearch file (variable 7) , output ps and pdf files (as well as intermediary text report files). For each barcode, the best coverage map for each genus identified in the dataset is shown. Reads contributing to coverage map are derived from assignments present in the 2 input files
 #
 # Copyright (C) 2014 Samia N Naccache - All Rights Reserved
 # SURPI has been released under a modified BSD license.