There are 5 repositories under rna-seq-data topic.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
😎 A curated list of software and resources for exploring and visualizing (browsing) expression data 😎
AltAnalyze is a multi-functional and easy-to-use software package for automated single-cell and bulk gene and splicing analyses. Easy-to-use precompiled graphical user-interface versions available from our website.
Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail
pcaExplorer - Interactive exploration of Principal Components of Samples and Genes in RNA-seq data
Interactive R package to quantify, analyse and visualise alternative splicing
Exhaustive capture of biological variation in RNA-seq data through k-mer decomposition.
:microscope: A multi-method comparative bioinformatics pipeline to detect and study circRNAs from RNA-seq data
RNAdetector: a free user-friendly and stand-alone software for RNA-Seq data analysis
🌻 View single-cell RNA-seq and mass cytometry data in synovial tissues from patients with RA or OA.
DEWE (Differential Expression Workflow Executor) is an open source application for easily executing Differential Expression analyses in RNA-Seq data.
R package to create heatmaps using signature gene list and transcriptomic data
Epigenomics workflow system for the semi-automated analysis of NGS data
Performed a differential gene expression analysis with RNA-seq that compares the expression in human control breast cancer cell lines with lines treated by silencing the NRDE2 gene. A Salmon + tximport + DESeq2 workflow was conducted to pursue this.
RNA-Seq tutorial materials - slides, training data, code lines
A repository for code that generates various simulated data.
Useful R functions for Multi-omics analyses
This is a repository for a pipeline used to identify imprinted genes or allele specific expressions using Illumina next generation sequencing (NGS) platform. This repository contains a work in progress to identify imprinted genes in polyploid species.
Performing RNA-Seq data analysis and quality control using DESeq2 in R.
Website (.NET Core MVC architecture) for the RytenLab team (https://rytenlab.com/). It also contains the specification for the .NET Core REST API of the RytenLab Team (https://rytenlab.com/swagger/index.html).
A repository for RNA-seq workflow
Performing RNA-seq data analysis with DESeq2 package of bioconductor
Perform RNA-seq data analysis with edgeR package of bioconductor
eproduciton of a publication regarding gene expression in different phases of lactation in humans
Build highly accurate transcripts from long-read RNA data