Statistical Analysis of RNA-Seq Tools
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Updated
Jun 13, 2023 - R
Statistical Analysis of RNA-Seq Tools
Brings bulk and pseudobulk transcriptomics to the tidyverse
This tutorial is created for educational purpose
Generate HTML report for a set of genomic regions or DESeq2/edgeR results
Some of the analytical processes and tools we use to provide rigorous and actionable results to our clients.
Probabilistic outlier identification for bulk RNA sequencing data
A quick recap of widely used differential analyses methods in R for RNA-seq experiments
Galaxy wrappers for SARTools (Statistical Analysis of RNA-Seq Tools)
Analyses combining ATAC-seq, RRBS, and RNA-seq data for purple urchins
RNA sequencing processing and analysis to find differential expression
Various tutorials on how to analyse transcriptomic data.
Differential expression analysis: DESeq2, edgeR, limma. Realized in python based on rpy2
Sea lion urine comparison with spectral counting.
Config files for my GitHub profile.
Perform RNA-seq data analysis with edgeR package of bioconductor
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