Analyze your RNA sequencing data without writing a single line of code

rna-seq-pipeline 开源项目推荐(164 个)
rna-seq-pipeline 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 164 个仓库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
GREIN : GEO RNA-seq Experiments Interactive Navigator
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
Colorectal cancer RNA-seq to CA7 zinc-site docking and molecular dynamics
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 Snakemake pipeline to go from fastq mRNA sequencing files to raw and normalised counts (usable for downstream EDA and differential analysis)
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
bioinfo workflow based on snakemake
Standard analysis routine for samples that were generated with Lexogen's QuantSeq pool library preparation kit.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/rna-seq-pipeline。
- 该话题在 GitHub 上共有 164 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 764 Star,覆盖 7 种主要语言,数据更新于 2026-11-09。
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