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

GREIN : GEO RNA-seq Experiments Interactive Navigator

SNP-free RNA editing Identification Toolkit

RNA-seq Data Processing, Quantification and Annotation Snakemake Workflow and MrBiomics Module.

Clair3-RNA - a long-read small variant caller for RNA sequencing data

All-in-one analysis pipeline

TransPi – a comprehensive TRanscriptome ANalysiS PIpeline for de novo transcriptome assembly

Automatic Packaging and Distribution of Bioinformatics Pipelines

Automatic RNA-Seq Pipelines with Interactive Report

GEO RNA-seq Experiments Processing Pipeline

A Comprehensive and Integrated Framework for Transcriptomic Data Analysis

RNA-seq Analysis Pipeline Testing and Optimization Resource - Intelligent pipeline selection and comprehensive benchmarking.

A quick recap of widely used differential analyses methods in R for RNA-seq experiments

🔬 A multi-method comparative bioinformatics pipeline to detect and study circRNAs from RNA-seq data

A Snakemake pipeline to go from fastq mRNA sequencing files to raw and normalised counts (usable for downstream EDA and differential analysis)

bioinfo workflow based on snakemake

Standard analysis routine for samples that were generated with Lexogen's QuantSeq pool library preparation kit.

A convenient pipeline for processing of multi-strain bacterial RNA-Seq experiments