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

FDM | A graph-based statistical method to detect differential transcription using RNA-seq data

Detects differential transcription between pairs of samples or between groups of replicates. FDM is based on a statistical method for performing a permutation test on ACT-Graphs that does not depend on annotations or an underlying transcripts inference. The application first align RNA-seq reads to a reference genome and determines the regions of differential RNA transcript expression between pairs of splice graphs for finally assess the significance of differential transcription.

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.

FDM 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.

FDM classification

FDM specifications

Unique identifier:
OMICS_01332
Software type:
Application/Script, Package/Module
Restrictions to use:
None
Operating system:
Unix/Linux
Stability:
Stable
Name:
flow difference metric
Interface:
Command line interface
Input format:
SAM+GTF
Computer skills:
Advanced
Maintained:
No

FDM 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.

FDM support

Maintainer

This tool is not available anymore.

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 Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Computer Science, University of Kentucky, Lexington, KY, USA; Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

Funding source(s)

Supported by National Science Foundation (ABI/EF grant number 0850237); National Institutes of Health: NCI TCGA (grant number CA143848); NCRR Idea (INBRE Grant P20RR016481); NCI GI SPORE Developmental Project Award (P50CA106991); Alfred P. Sloan Foundation fellowship.

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