Main logo
?
tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

rSeqDiff | Detecting differential isoform expression from RNA-Seq data using hierarchical likelihood ratio test

An R package that can detect differential gene and isoform expressions from RNA-seq data of multiple biological conditions.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

rSeqDiff forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

rSeqDiff classification

rSeqDiff specifications

Unique identifier:
OMICS_01968
Interface:
Command line interface
Input format:
RATES
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Stability:
Beta
Maintained:
Yes
Software type:
Package/Module
Restrictions to use:
None
Output format:
RDATA + CSV
Programming languages:
R
Version:
0.1
Requirements:
rSeq

rSeqDiff distribution

versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship

Publications

Institution(s)

Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.