Brings bulk and pseudobulk transcriptomics to the tidyverse
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Updated
Oct 19, 2024 - R
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.
Sea lion urine comparison with spectral counting.
Galaxy wrappers for SARTools (Statistical Analysis of RNA-Seq Tools)
Analyses combining ATAC-seq, RRBS, and RNA-seq data for purple urchins
Snakemake workflow for Bulk RNASeq at both genome level and transcripts level.
RNA sequencing processing and analysis to find differential expression
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