Python中的单细胞分析。扩展至> 1亿个细胞。

transcriptomics 开源项目推荐(1,289 个)
transcriptomics 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 1,289 个仓库Glugget能够高效查询基因组参考数据库
Foundation Models for Genomics & Transcriptomics
An interactive explorer for single-cell transcriptomics data
Annotated data.
A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
Single cell perturbation prediction
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Python package to perform enrichment analysis from omics data.
The COnstraint-Based Reconstruction and Analysis Toolbox. Documentation:
Reference-guided transcript discovery and quantification for long read RNA-Seq data
R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets
starfish: unified pipelines for image-based transcriptomics
A list of web-based interactive biological data visualizations.
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
A universal toolkit for upstream processing of long RNA reads
R/shiny interface for interactive visualization of data in SummarizedExperiment objects
🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.
An ontology of cell types
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/transcriptomics。
- 该话题在 GitHub 上共有 1,289 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 1.1 万 Star,覆盖 7 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。