Options
SLiMFinder : a web server to find novel, significantly over-represented, short protein motifs
Date Issued
2010-07
Date Available
2010-11-19T15:10:01Z
Abstract
Short, linear motifs (SLiMs) play a critical role in many biological processes, particularly in protein–protein interactions. The Short, Linear Motif Finder (SLiMFinder) web server is a de novo motif discovery tool that identifies statistically over-represented motifs in a set of protein sequences, accounting for the evolutionary relationships between them. Motifs are returned with an intuitive P-value that greatly reduces the problem of false positives and is accessible to biologists of all disciplines. Input can be uploaded by the user or extracted directly from UniProt. Numerous masking options give the user great control over the contextual information to be included in the analyses. The SLiMFinder server combines these with user-friendly output and visualizations of motif context to allow the user to quickly gain insight into the validity of a putatively functional motif. These visualizations include alignments of motif occurrences, alignments of motifs and their homologues and a visual schematic of the top-ranked motifs. Returned motifs can also be compared with known SLiMs from the literature using CompariMotif. All results are available for download. The SLiMFinder server is available at: http://bioware.ucd.ie/slimfinder.html.
Sponsorship
Science Foundation Ireland
European Research Council
Other funder
Other Sponsorship
University of Southampton - RJE
Type of Material
Journal Article
Publisher
Oxford University Press
Journal
Nucleic Acids Research
Volume
38
Issue
Suppl 2.
Start Page
w534
End Page
w539
Copyright (Published Version)
2010 The Author(s)
Subject – LCSH
Protein-protein interactions
Proteins--Research--Data processing
Proteins--Research--Technological innovations
Language
English
Status of Item
Peer reviewed
ISSN
1362-4962 (online)
0305-1048 (print)
This item is made available under a Creative Commons License
File(s)
Loading...
Name
davey10.pdf
Size
6.16 MB
Format
Adobe PDF
Checksum (MD5)
d0fbd3b746d4799a3edc56949c63371b
Owning collection
Mapped collections