-
Notifications
You must be signed in to change notification settings - Fork 19
/
DESCRIPTION
97 lines (97 loc) · 2.74 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
Package: sigminer
Title: Extract, Analyze and Visualize Mutational Signatures for Genomic
Variations
Version: 2.3.2
Authors@R: c(
person("Shixiang", "Wang", , "w_shixiang@163.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-9855-7357")),
person("Ziyu", "Tao", , "taozy@shanghaitech.edu.cn", role = "aut",
comment = c(ORCID = "0000-0003-3272-1227")),
person("Huimin", "Li", , "lihm@shanghaitech.edu.cn", role = "aut",
comment = c(ORCID = "0000-0003-1683-9057")),
person("Tao", "Wu", , "wutao2@shanghaitech.edu.cn", role = "aut",
comment = c(ORCID = "0000-0002-8999-9628")),
person("Xue-Song", "Liu", role = c("aut", "ctb"),
comment = c(ORCID = "0000-0002-7736-0077")),
person("Anand", "Mayakonda", role = "ctb")
)
Description: Genomic alterations including single nucleotide substitution,
copy number alteration, etc. are the major force for cancer
initialization and development. Due to the specificity of molecular
lesions caused by genomic alterations, we can generate characteristic
alteration spectra, called 'signature' (Wang, Shixiang, et al. (2021)
<DOI:10.1371/journal.pgen.1009557> & Alexandrov, Ludmil B., et al.
(2020) <DOI:10.1038/s41586-020-1943-3> & Steele Christopher D., et al.
(2022) <DOI:10.1038/s41586-022-04738-6>). This package helps users to
extract, analyze and visualize signatures from genomic alteration
records, thus providing new insight into cancer study.
License: MIT + file LICENSE
URL: https://github.com/ShixiangWang/sigminer, https://shixiangwang.github.io/sigminer/, https://shixiangwang.github.io/sigminer-book/
BugReports: https://github.com/ShixiangWang/sigminer/issues
Depends:
R (>= 3.5)
Imports:
cli (>= 2.0.0),
cowplot,
data.table,
dplyr,
furrr (>= 0.2.0),
future,
ggplot2 (>= 3.3.0),
ggpubr,
maftools,
magrittr,
methods,
NMF,
purrr,
Rcpp,
rlang (>= 0.1.2),
stats,
tidyr
Suggests:
Biobase,
Biostrings,
BSgenome,
BSgenome.Hsapiens.UCSC.hg19,
circlize,
cluster,
covr,
digest,
GenomicRanges,
GenSA,
ggalluvial,
ggcorrplot,
ggfittext,
ggplotify,
ggrepel,
IRanges,
knitr,
lpSolve,
markdown,
matrixStats,
nnls,
parallel,
patchwork,
pheatmap,
quadprog,
R.utils,
RColorBrewer,
reticulate,
rmarkdown,
roxygen2,
scales,
synchronicity,
testthat (>= 3.0.0),
tibble,
UCSCXenaTools
LinkingTo:
Rcpp
VignetteBuilder:
knitr
biocViews:
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE, roclets = c("collate", "namespace", "rd",
"roxytest::testthat_roclet"))
RoxygenNote: 7.3.1
Config/testthat/edition: 3