Orchestrating Microbiome Analysis
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Updated
Oct 2, 2024 - TeX
Orchestrating Microbiome Analysis
Using R and Bioconductor packages for the analysis and comprehension of proteomics data.
TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages
"Principles of Spatial Transcriptomics Analysis with Bioconductor" book
Multi-omic Integration and Analysis of cBioPortal and TCGA data with MultiAssayExperiment
Tutorial for the analysis of scRNA-seq data in R
See https://github.com/LTLA/SingleRBook for the latest version of this content.
Bioconductor working group guidelines. Also, a list of active, suggested, and inactive working groups for bioconductor for the community to volunteer to be apart of. The community is also welcome to suggest new working groups.
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
The package wrapping the book, for deployment via the Bioconductor build system.
An archived version of the simpleSingleCell repository, see https://github.com/MarioniLab/simpleSingleCell for the active version.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
An instructional/experiential book using R and Bioconductor.
Data and code associated with the paper "Assessing the quality of comparative genomics data and results with the cogeqc R/Bioconductor package"
MSnbase v2 paper
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