Analyze your RNA sequencing data without writing a single line of code
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Updated
Jun 4, 2025 - Python
Analyze your RNA sequencing data without writing a single line of code
Reproducible bioinformatics pipelines in python. Import any Unix tool/command in python.
Single cell Nanopore sequencing data for Genotype and Phenotype
SNP-free RNA editing Identification Toolkit
Automatic Packaging and Distribution of Bioinformatics Pipelines
Clair3-RNA - a long-read small variant caller for RNA sequencing data
A Snakemake pipeline to go from fastq mRNA sequencing files to raw and normalised counts (usable for downstream EDA and differential analysis)
RNA-seq Data Processing, Quantification and Annotation Snakemake Workflow and MrBiomics Module.
Updated version of PAQR, which was previously available in the PAQR_KAPAC joint repository.
Accurate, easy and integrated suit to compare RNA samples with different degradation levels, quantify decay rates per-transcript and correct for degradation-induced artifacts in differential gene/transcript comparisons
A small python tool for RNA-seq workflows
miRPipe: Open source RNA-Seq bioinformatics analysis docker for identification of miRNAs and piRNAs
LSTrAP-denovo is an easy-to-use pipeline to assemble and annotate transcripts for species without genome / genomic annotations using publicly available RNA-seq data.
Tutorial for RNA sequence data processing and simple downstream analysis with Drosophila melanogaster
pySeqRNA: a python-based package for RNASeq data analysis
An Automatic System for RNA-Seq Data Analysis
RNA-Seq Analysis pipeline using Snakemake workflow
circs_snake : a snakemake-based circRNA detection workflow
A robust Python tool for annotating RNA sequencing data using standardized ontologies and classification systems.
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