Using R and Bioconductor packages for the analysis and comprehension of proteomics data.

[DEPRECATED] An R package for Google Genomics API queries.

This is the ensembldb development repository.

This RNAseq data analysis tutorial is created for educational purpose

R Package for Computing and Visualizing CRAN and Bioconductor Downloads

Package to calculate functional similarity between genes https://biocor.llrs.dev

📦 🔬 R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery

📦 🔬 R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis

HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides a R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms.

Source code for the Bioconductor workshop "Integrating gene expression and DNA-binding data using R/Bioconductor"

QUBIC R Package

Material for useR!2021 talk: Reviewing packages; how does it work?

This is a version of topGO using roxygen2 and Rmd

This is a read-only mirror of the Bioconductor SVN repository. Package Homepage: http://bioconductor.org/packages/devel/bioc/html/ChIPsim.html Bug Reports: https://support.bioconductor.org/p/new/post/?tag_val=ChIPsim.

📦 Bioconductor data package associated with the biotmle R package

Bioconductor code mirror ar https://github.com/bioc

In this lab we will perform a differential expression analysis starting from scratch. Doxorubicin is a commonly prescribed cancer drug, but one of its side effects is cardiotoxicity. This drug damages heart cells by binding to the protein topoisomerase-II beta, or Top2b.

R packages created in Hidelab

Bio Statistics R Coding Using Dataset AntiProfilesData Genomics Data Structure Processing.

📦 Bioconductor data package associated with the methyvim R package