Skip to content

scRNA-tools/scRNA-tools

master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
app
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

scRNA-tools

scRNA-tools

Project Status Lifecycle Build Status Netlify Status

A database of software tools for the analysis of single-cell RNA-seq data. To make it into the database software must be available for download and public use somewhere (CRAN, Bioconductor, PyPI, Conda, GitHub, Bitbucket, a private website etc). To view the database head to https://www.scRNA-tools.org.

Purpose

This database is designed to be an overview of the currently available scRNA-seq analysis software, it is unlikely to be 100% complete or accurate but will be updated as new software becomes available.

Contributing

We welcome contributions from the scRNA-seq community! If you would like to contribute please follow the have a look at the wiki or fill in the submission form on our website (https://www.scrna-tools.org/submit). Please be aware that by contributing you are agreeing to abide by the code of conduct.

If you are interested in joining the scRNA-tools team please contact us.

Citation

If you find the scRNA-tools database useful for your work please cite our publication:

Zappia L, Phipson B, Oshlack A. "Exploring the single-cell RNA-seq analysis landscape with the scRNA-tools database", PLOS Computational Biology (2018), DOI: 10.1371/journal.pcbi.1006245

@ARTICLE{,
  title       = "Exploring the single-cell {RNA-seq} analysis landscape with
                 the {scRNA-tools} database",
  author      = "Zappia, Luke and Phipson, Belinda and Oshlack, Alicia",
  journal     = "PLoS Computational Biology",
  volume      =  14,
  number      =  6,
  pages       = "e1006245",
  month       =  jun,
  year        =  2018,
  language    = "en",
  doi         = "10.1371/journal.pcbi.1006245",
  url         = "https://doi.org/10.1371/journal.pcbi.1006245",
}

If you make use of our analysis of the first 1000 tools in the database please also cite:

Zappia L, Theis FJ. "Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape", Genome Biology (2021), DOI: 10.1186/s13059-021-02519-4

@ARTICLE{,
  title    = "Over 1000 tools reveal trends in the single-cell {RNA-seq}
              analysis landscape",
  author   = "Zappia, Luke and Theis, Fabian J",
  journal  = "Genome Biol.",
  volume   =  22,
  number   =  1,
  pages    = "301",
  month    =  oct,
  year     =  2021,
  language = "en"
  doi      = "10.1186/s13059-021-02519-4",
  url      = "https://doi.org/10.1186/s13059-021-02519-4"
}

About

Table of software for the analysis of single-cell RNA-seq data.

Topics

Resources

License

Code of conduct

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published