Various tutorials on how to analyse transcriptomic data.
-
Updated
Jun 28, 2023 - HTML
Various tutorials on how to analyse transcriptomic data.
A R-based analysis of the effect of Cystic Fibrosis on the lung fibroblast transcriptome in humans.
This project provides a reproducible workflow for bulk RNA-Seq data analysis, including preprocessing, quality control, differential expression analysis, and visualization using edgeR and limma-voom. It focuses on evaluating pipeline performance while analyzing RNA-Seq data from a case study on mouse mammary gland gene expression.
Sea lion urine comparison with spectral counting.
RNA-Seq Data Analysis in R: From Raw Counts to Differential Expression Analysis
Add a description, image, and links to the edger topic page so that developers can more easily learn about it.
To associate your repository with the edger topic, visit your repo's landing page and select "manage topics."