Differential Expression Analysis tool box R lang package for omics data
An R package to plot interactive three-way differential expression analysis
A Snakemake workflow and MrBiomics module for performing and visualizing differential (expression) analyses (DEA) on NGS data powered by the R package limma.
A Snakemake workflow and MrBiomics module for performing differential expression analyses (DEA) on (multimodal) sc/snRNA-seq data powered by the R package Seurat.
R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single-cell CRISPR screening data.
Approaches to identify Differential Rhythmicity
An awesome Oxford Nanopore Pipeline for direct RNA-sequencing
Software for intuitively doing Differential Gene Expression (DGE) analysis on Windows and GNU\Linux, based on R packages.
Material used for a course on transcriptomics, covering transcriptome assembly, transcriptome functional annotation, differential expression analysis, and functional annotation data mining
A library for differential expression and gene set enrichment analysis based on hydra and pydantic.
GWAS of Postmortem Brain Samples Sheds Light on the Development of Schizophrenia and Bipolar Disorder
Performing RNA-Seq data analysis and quality control using DESeq2 in R.
Multi-omics differential expression and integration using PPI networks
Analysis of data from GEO
RNA-Seq analysis pipeline for investigating transcriptional changes during mammalian cardiac regeneration.
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.
MICTI- Marker gene Identification for Cell Type Identity
Differential gene expression analysis exercise for the course Analytical Methods in Cancer Genomics 2023. The goal is to perform analysis of RNA-Seq data.
Differential gene expression analysis of Nannochloropsis oceanica growth with or without beneficial/harmful bacteria.
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