Main logo
?

Predicts how likely distant mutations around annotated splice sites were to disrupt splicing. Spliceman takes a set of DNA sequences with point mutations and returns a ranked list to predict the effects of point mutations on pre-mRNA splicing. The current implementation included the analyses of 11 genomes: human, chimp, rhesus, mouse, rat, dog, cat, chicken, guinea pig, frog and zebrafish.

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.

Spliceman 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.

Spliceman classification

  • Animals
    • Danio rerio
    • Gallus gallus
    • Homo sapiens
    • Mus musculus
    • Rattus norvegicus

Spliceman specifications

Unique identifier:
OMICS_02259
Restrictions to use:
Academic or non-commercial use
Input format:
VCF
Programming languages:
Perl, PHP
Computer skills:
Basic
Stability:
Stable
Interface:
Web user interface
Input data:
A set of DNA sequences with point mutations.
Output data:
A ranked list to predict the effects of point mutations on pre-mRNA splicing.
Database management system:
PostgreSQL
Version:
2.0
Maintained:
Yes

Spliceman support

Documentation

Maintainer

  • William Guy Fairbrother <>

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 Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI, USA; Center for Computational Molecular Biology, Brown University, Providence, RI, USA; Division of Applied Mathematics, Brown University, Providence, RI, USA; Hassenfeld Child Health Innovation Institute, Brown University, Providence, RI, USA

Funding source(s)

The National Institute of Health (1R01GM095612-01)

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