Analyze your RNA sequencing data without writing a single line of code
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Updated
Aug 22, 2024 - 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.
GREIN : GEO RNA-seq Experiments Interactive Navigator
SNP-free RNA editing Identification Toolkit
Single cell Nanopore sequencing data for Genotype and Phenotype
All-in-one analysis pipeline
Automatic Packaging and Distribution of Bioinformatics Pipelines
TransPi – a comprehensive TRanscriptome ANalysiS PIpeline for de novo transcriptome assembly
Automatic RNA-Seq Pipelines with Interactive Report
GEO RNA-seq Experiments Processing Pipeline
🔬 A multi-method comparative bioinformatics pipeline to detect and study circRNAs from RNA-seq data
A quick recap of widely used differential analyses methods in R for RNA-seq experiments
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)
A convenient pipeline for processing of multi-strain bacterial RNA-Seq experiments
Automated RNA-seq pipeline for lncRNA indentification
Quality Control, Mapping and Reads Count for RNA-Seq Analysis
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