Brings bulk and pseudobulk transcriptomics to the tidyverse

Statistical Analysis of RNA-Seq Tools

This RNAseq data analysis tutorial is created for educational purpose

A quick recap of widely used differential analyses methods in R for RNA-seq experiments

Differential expression analysis: DESeq2, edgeR, limma. Realized in python based on rpy2

Generate HTML report for a set of genomic regions or DESeq2/edgeR results

Various tutorials on how to analyse transcriptomic data.

Probabilistic outlier identification for bulk RNA sequencing data

Some of the analytical processes and tools we use to provide rigorous and actionable results to our clients.

Some of the analytical processes and tools we use to provide rigorous and actionable results to our clients.

A R-based analysis of the effect of Cystic Fibrosis on the lung fibroblast transcriptome in humans.

Enhanced volcano plot using edgeR data

Galaxy wrappers for SARTools (Statistical Analysis of RNA-Seq Tools)

Analyses combining ATAC-seq, RRBS, and RNA-seq data for purple urchins

Sea lion urine comparison with spectral counting.

some scripts to process transcriptomics and Chip-seq data

Singularity image w/ R-libraries for analysing DNA methylation alterations

Methods overview with scripts looking at mtDNA and haplogroup association with CPTAC LUAD study.

RNASeq and Call Variants

RNA sequencing processing and analysis to find differential expression