SLiMSearch: A Webserver for Finding Novel Occurrences of Short Linear Motifs in Proteins, Incorporating Sequence Context Authors: Norman E. Davey, Niall J. Haslam, Denis C. Shields, Richard J. Edwards Keywords: short linear motif, motif discovery, minimotif, elm
Short, linear motifs (SLiMs) play a critical role in many biological processes. The SLiMSearch (Short, Linear Motif Search) webserver is a flexible tool that enables researchers to identify novel occurrences of pre-defined SLiMs in sets of proteins. Numerous masking options give the user great control over the contextual information to be included in the analyses, including evolutionary filtering and protein structural disorder. User-friendly output and visualizations of motif context allow the user to quickly gain insight into the validity of a putatively functional motif occurrence. Users can search motifs against the human proteome, or submit their own datasets of UniProt proteins, in which case motif support within the dataset is statistically assessed for over- and under-representation, accounting for evolutionary relationships between input proteins. SLiMSearch is freely available as open source Python modules and all webserver results are available for download. The SLiMSearch server is available at: http://bioware.ucd.ie/slimsearch.html .
Seemed like an appropriate resource to follow on today’s earlier posting.
Note in the keywords, “elm.”
Care to guess what that means? If you are a bioinformatics or biology person you may get it correct.
What do you think the odds are that any person much less a general search engine will get it correct?
Topic maps are about making sure you find: Eukaryotic Linear Motif Resource without wading through what a search of any common search engine returns for “elm.”
- What other terms in this paper represent other subjects?
- What properties would you use to identify those subjects?
- How would you communicate those subjects to someone else?