Best practice RNA-Seq analysis pipeline for reference-based RNA-Seq analysis
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Updated
May 17, 2021 - Shell
Best practice RNA-Seq analysis pipeline for reference-based RNA-Seq analysis
(formerly eelpond) an automated RNA-Seq workflow system
A comprehensive pipeline for RNAseq data analysis
Code, documentation, and tutorials for the DGD model trained on bulk RNA-Seq data.
Flujos de trabajos desarrollados y automatizados en el Intituto Nacional de Medicina Genómica para el procesamiento de datos genómicos y transcriptómicos.
Docker Integrated Comparison of Alternative Splicing (AS) Tools. Benchmarking AS tools and genomic alignment tools.
This repo is a template for running differential gene expression analysis of RNA-seq count data followed by gene set enrichment analysis. This workflow is run in R using Rmarkdown. It is based around the popular R packages, DESeq2, fGSEA, and others.
A reproducible RNA-seq analysis pipeline built with Snakemake, supporting QC, alignment, quantification, and differential expression.
Transcriptomics and phenotypic analysis of a cohort of ME/CFS patients.
Scripts developed during my master’s program for RNA-seq analysis.
The TRMRNASeqTools is a SHELL and Python based pipeline designed for automatic general analysis for TRM sRNA sequencing data in supported plants.
Analysis and metadata for the transcriptome analysis of Schistocerca phase transition
This repository includes scripts for RNAseq analysis
Guide and links related to bulk and single-cell RNA-Seq experiments.
RNAlytics: A Shiny-based web application for RNA-Seq analysis, offering differential expression, KEGG/GO enrichment, and interactive visualizations (PCA, Volcano, Heatmap, Gene Count). Built with R 4.4.3, it provides a user-friendly platform for researchers to explore genomic data. Deployable on Shiny Server for full control and scalability.
RNA-seq benchmarking toolkit including UTR annotation, quantification (STAR+Salmon, Salmon, Kallisto), multimapping evaluation, and optional simulation scripts.
A workflow for analysis of paired-end RNA-seq data and differential gene expression analysis.
Collection of scripts and pipeline for genomic analysis and RNAseq analysis
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