Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
scrna-seq-data 开源项目推荐(25 个)
scrna-seq-data 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 25 个仓库Coarse-graining of large single-cell RNA-seq data into metacells
AltAnalyze is a multi-functional and easy-to-use software package for automated single-cell and bulk gene and splicing analyses. Easy-to-use precompiled graphical user-interface versions available from our website.
Using Bulk Gene Expression to Estimate Cell-Type-Specific Gene Expression via Deconvolution
metadata and data from the database
The Cornell Single-Cell Muscle Project (scMuscle) aims to collect, analyze and provide to the research community skeletal muscle transcriptomic data
Extracellular vesicle-derived miRNA-mediated cell-cell communication inference for single-cell transcriptomic data
A package that performs cell type annotations on single cell resolution of spatial transcriptomics data, find the niche interactions and statistically enriched covariation of gene programs between interacting cell types from the neighborhood.
Single cell transcriptomic data from Tasic, et al. (2016)
V-SVA: An R Shiny application for detecting and annotating hidden sources of variation in single cell RNA-seq data
PicturedRocks Single Cell Analysis Tool
ScRNA-seq Analysis Copilot serves as an interactive agent to learn single cell sequencing, answering questions and helping new learners to practice analysis.
Gene expression on C. elegans single cells
Python implementation of the AISTATS2025 paper "Global Ground Metric Learning with Applications to scRNA data" by Damin Kühn nad Michael T. Schaub. To use GGML on your own data, refer to the python package below:
Benchmarking records for scRNA-seq CNV detection.
Predict human Erythroid cell tissue of origin using the BD Rhapsody single cell Immune responce panel gene expression data
Large-scale Benchmarking of Single-cell Differential Expression Analysis Methods
V-SVA: An R Shiny application for detecting and annotating hidden sources of variation in single cell RNA-seq data
Repo linked to our recent publication in Science Advances
scRNA-seq datasets to support Jung et al, Sci Adv, 7(6): eabe5735, 2021. DOI: 10.1126/sciadv.abe5735
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/scrna-seq-data。
- 该话题在 GitHub 上共有 25 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
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- 当前 20 个项目累计 4292 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
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