Repository for the NGS summer course at Aarhus university

Time-series RNA-Seq and data-driven network inference unveil dynamic cell phenotypes in Chronic Lymphocytic Leukaemia

A reproducible Nextflow pipeline integrates user-defined input via YAML or Python config, enabling modular downstream RNA-Seq analysis using DESeq2 with outputs at every stage, including batch correction (ComBat-Seq), power analysis, and unfiltered differential and pathway results per contrast. It follows Nextflow training guidel

RNA sequencing, bioinformatics, and data analysis involved in the Itch project for Dr. Martha Bhattacharya's Lab at the University of Arizona