A collection of Galaxy-related training material

Detecting contamination in NGS data and multi-species analysis

DNAscan is a fast and efficient bioinformatics pipeline that allows for the analysis of DNA Next Generation sequencing data, requiring very little computational effort and memory usage.

A course on Analysing Next Generation (/High Throughput etc..) Sequencing data using Bioconductor

RNAseq analysis pipeline

Manuscript describing ChronQC is now available online in Bioinformatics

Sequence-independent identification and removal of adapters/systemic contamination in shotgun sequencing data. https://doi.org/10.1093/bioinformatics/btac389

Supports de cours de l'Ecole de Bioinformatique Aviesan - IFB - Inserm "Initiation au traitement des données de génomique obtenues par séquençage à haut débit"

Materials used during #NGSchool2017

SEAL db - Simple, Efficient And Lite database for NGS

A python package storing different tools for different NGS operations

DNAscan2 is a fast and efficient bioinformatics pipeline that allows for the analysis of DNA Next Generation sequencing data, requiring very little computational effort and memory usage

Provides HTML reports with detailed coverage analysis for clinical NGS data.

Dynamic Mapping Simulator.

workflow and notes on large virus genome assembly and snp call using FastQC, Trimmomatic, bowtie2, and samtools.

MetaStorm: A public webservice for the analysis and annotation of short sequence reads metagenomes

This is the bioinformatics workflow notebook for the analysis of wet lab-derived Candida albicans RNA-seq samples for BIOL 379.

Bioinformatician

Teaching material used in the "Advanced Bioinformatics for Next-Generation Sequencing" class, University of Copenhagen, 2021