https://github.com/arosenfeld/immunedb

ImmuneDB - A system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data
https://github.com/arosenfeld/immunedb

bioinformatics database immunology python

Last synced: 3 months ago
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ImmuneDB - A system for the analysis and exploration of high-throughput adaptive immune receptor sequencing data

• Host: GitHub
• URL: https://github.com/arosenfeld/immunedb
• Owner: arosenfeld
• License: other
• Created: 2014-10-16T14:50:43.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2024-05-21T19:31:28.000Z (about 2 years ago)
• Last Synced: 2026-04-03T19:54:31.343Z (3 months ago)
• Topics: bioinformatics, database, immunology, python
• Language: Python
• Homepage: http://immunedb.com
• Size: 15 MB
• Stars: 22
• Watchers: 7
• Forks: 12
• Open Issues: 14
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt

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README

          
ImmuneDB

========

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ImmuneDB is a Python module that facilitates efficient storage and analysis of

high-throughput B- and T-cell sequence data.

# Documentation

Installation and usage instructions can be found at [immunedb.com](http://immunedb.com)

# Support

Basic questions regarding installing and running ImmuneDB can be emailed to

aaron.rosenfeld@pennmedicine.upenn.edu.  Bugs and feature requests should be

submitted as [Issues](https://github.com/arosenfeld/immunedb/issues).  I try to

respond to both within 2 business days if possible.

# Citing

If you use ImmuneDB, please cite the tool as:

Rosenfeld, A. M., Meng, W., Luning Prak, E. T., Hershberg, U., **ImmuneDB, a

Novel Tool for the Analysis, Storage, and Dissemination of Immune Repertoire

Sequencing Data**. Frontiers in Immunology **9** (2018).

ImmuneDB was originally announced previously in:

Rosenfeld, A. M., Meng, W., Luning Prak, E. T., Hershberg, U.,

**ImmuneDB: a system for the analysis and exploration of high-throughput

adaptive immune receptor sequencing data**, Bioinformatics **33** (2016), no. 2,

292–293.