Data and code associated with the paper "Assessing the quality of comparative genomics data and results with the cogeqc R/Bioconductor package"
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Updated
Oct 17, 2023 - TeX
Data and code associated with the paper "Assessing the quality of comparative genomics data and results with the cogeqc R/Bioconductor package"
Home page for CSHL Statistical Methods for Genome Scale Data, 2023 edition
MSnbase v2 paper
An instructional/experiential book using R and Bioconductor.
An archived version of the chipseqDB repository, see https://github.com/LTLA/chipseqDB for the active version.
Public repo for the recount Bioconductor workflow that is visible at http://bioconductor.org/help/workflows/
📦 🔬 R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
The package wrapping the book, for deployment via the Bioconductor build system.
R is nowadays probably the most powerful tool for calculations of all kinds. There are plenty of modules available for work with molecular data. Those will be introduced during the course.
plyranges and tximeta case study
An archived version of the simpleSingleCell repository, see https://github.com/MarioniLab/simpleSingleCell for the active version.
Multi-omic Integration and Analysis of cBioPortal and TCGA data with MultiAssayExperiment
Tutorial for the analysis of scRNA-seq data in R
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