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

See All Activity >

Categories

Bio-Informatics

License

GNU General Public License version 3.0 (GPLv3)

Follow DualTranscriptDiscovery

DualTranscriptDiscovery Web Site

Other Useful Business Software
Resolve Support Tickets 2x Faster​ with ServoDesk Icon
Resolve Support Tickets 2x Faster​ with ServoDesk

Full access to Enterprise features. No credit card required.

What if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
Try ServoDesk for free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of DualTranscriptDiscovery!

Additional Project Details

Operating Systems

Linux, Mac

Intended Audience

Science/Research

Programming Language

Python

Related Categories

Python Bio-Informatics Software

Registered

2017-10-12