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

CEM | Transcriptome assembly and isoform expression level estimation from biased RNA-Seq reads

Allows users to evaluate isoform abundance level and assemble transcriptome from biased RNA-Seq data simultaneously. CEM is a component elimination algorithm that is able to apprehend the property of multiple types of RNA-Seq biases by using a single parameter. Functionalities included in the application can also be used through the IsoLasso software. It was tested on both simulated and real data.

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.

CEM 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.

CEM classification

CEM specifications

Unique identifier:
OMICS_01271
Interface:
Command line interface
Operating system:
Unix/Linux
Version:
0.9.1
Maintained:
Yes
Software type:
Application/Script
Restrictions to use:
None
Computer skills:
Advanced
Stability:
Stable

CEM 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.

download

CEM support

Maintainer

  • Wei Li <>

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 and Engineering, University of California, Riverside, Riverside CA, USA; School of Information Science and Technology, Tsinghua University, Beijing, China

Funding source(s)

Supported by the NIH R01 grant (AI078885).

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