This project contains Python scripts usable for a dual transcript-discovery approach that improves the delimitation of gene features from RNA-seq data in the chicken model.

Documentation:
http://bio.biologists.org/content/biolopen/suppl/2018/01/17/bio.028498.DC1/BIO028498supp.pdf

Citation:
Orgeur M., Martens M., Börno S. T., Timmermann B., Duprez D. and Stricker S. (2018). A dual transcript-discovery approach to improve the delimitation of gene features from RNA-seq data in the chicken model. Biology Open 7(1): bio028498. doi: 10.1242/bio.028498 PMID: 29183907.
http://bio.biologists.org/content/7/1/bio028498
https://www.ncbi.nlm.nih.gov/pubmed/?term=29183907

Features

  • Compatible with Python 2.7

Project Activity

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Categories

Bio-Informatics

License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Operating Systems

Linux, Mac

Intended Audience

Science/Research

Programming Language

Python

Related Categories

Python Bio-Informatics Software

Registered

2017-10-12