This RNAseq data analysis tutorial is created for educational purpose
-
Updated
Oct 1, 2024 - R
This RNAseq data analysis tutorial is created for educational purpose
An R package containing bioinformatics utility functions. Mostly related to RNAseq data analysis
Sashimi plots for RNA-seq data using detected transcripts
The project aims to study the genome, transcriptome, epigenome of FL, to rigorously define and validate molecular subtypes by unravelling inter- and intra-patient heterogeneity.
RNAseq pipeline for alternative splicing junctions
zUMIs: A fast and flexible pipeline to process RNA sequencing data with UMIs
interactive Bioinformatics Exploratory Tools
Workflow for Sequenza, cellularity and ploidy
This repository is the current repository for our Jones et al. 2024 manuscript titled Long-read RNA sequencing identifies region- and sex-specific C57BL/6J mouse brain mRNA isoform expression and usage.
Modeling and correcting fragment sequence bias for RNA-seq
Advanced bioinformatics analysis of RNA sequencing data and genomic databases using R. Explore allelic imbalances, SNP variants, and phylogenetic trees to uncover genetic insights and visualize complex data interactions.
R package for the recount2 project. Documentation website: https://leekgroup.github.io/recount/
Plotting functions for derfinder results
Example data used by the derfinder and derfinderData Bioconductor packages
Annotation-agnostic differential expression analysis of RNA-seq data via expressed regions-level or single base-level approaches
Perform differential transcript usage (DTU) analysis of bulk or single-cell RNA-seq data. See documentation at:
CUBseq analyses codon usage bias from RNA-seq data, producing robust CUB estimates that account for variants transcriptome-wide and in highly expressed genes.
Add a description, image, and links to the rnaseq topic page so that developers can more easily learn about it.
To associate your repository with the rnaseq topic, visit your repo's landing page and select "manage topics."