A course on Analysing Next Generation (/High Throughput etc..) Sequencing data using Bioconductor
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Updated
May 4, 2016 - HTML
A course on Analysing Next Generation (/High Throughput etc..) Sequencing data using Bioconductor
A buggier version of [Bio.jl](https://github.com/BioJulia/Bio.jl) with less features and worse performance.
Materials used during #NGSchool2017
Manuscript describing ChronQC is now available online in Bioinformatics
My next genome sequencing classes homework, Bioinformatics Institute (the 2nd semester), spring 2020
A python package storing different tools for different NGS operations
This is the bioinformatics workflow notebook for the analysis of wet lab-derived Candida albicans RNA-seq samples for BIOL 379.
Material used for a bioinformatics computer lab course, covering DNA/RNA sequence assembly and analysis, phylogenetic analysis, gene functional annotation, and metagenomic 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 Tufts University Research Technology Workshop
MetaStorm: A public webservice for the analysis and annotation of short sequence reads metagenomes
Teaching material used in the "Advanced Bioinformatics for Next-Generation Sequencing" class, University of Copenhagen, 2021
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
workflow and notes on large virus genome assembly and snp call using FastQC, Trimmomatic, bowtie2, and samtools.
Sequence-independent identification and removal of adapters/systemic contamination in shotgun sequencing data. https://doi.org/10.1093/bioinformatics/btac389
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