Best practice RNA-Seq analysis pipeline for reference-based RNA-Seq analysis
-
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.
The TRMRNASeqTools is a SHELL and Python based pipeline designed for automatic general analysis for TRM sRNA sequencing data in supported plants.
Scripts developed during my master’s program for RNA-seq analysis.
A script to analyze with DESeq2 data from Kallisto. You maybe are interested only in DESeq2 part and its analisis and representation :)
Breast Cancer Survival Prediction
A book that discusses topics and contains tutorials relevant to population genomics
nf-pipeline template for custom data analysis, renders report
Custom workflow for analysis of RNAseq data
IMOM - A pipeline for interacting with, processing, and analyzing multi-OM datasets in phylogenetic and evolutionary context
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.
Splicing assembly for non-model organisms using RNAseq data
This GitHub repo supports a project, led by Delphine Galiana. It explores the innate immune response to viral infections, focusing on the role of plasmacytoid dendritic cells (pDCs) and the impact of alternative splicing in their antiviral response.
Add a description, image, and links to the rnaseq-analysis topic page so that developers can more easily learn about it.
To associate your repository with the rnaseq-analysis topic, visit your repo's landing page and select "manage topics."