MotifClick specifications

Information


Unique identifier OMICS_06269
Name MotifClick
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages C++
License GNU General Public License version 2.0
Computer skills Advanced
Stability No
Maintained Yes

Versioning


No version available

Publication for MotifClick

MotifClick citations

 (2)
library_books

Adaptation to environmental factors shapes the organization of regulatory regions in microbial communities

2014
BMC Genomics
PMCID: 4287501
PMID: 25294412
DOI: 10.1186/1471-2164-15-877

[…] [], and up to 20 through the identification of half-sites motifs []. (2) We also evaluated the performance of our methodology by comparing our results with those obtained with an independent method, MotifClick, that predicts cis-regulatory regions using a graph-based polynomial-time algorithm []. After running both predictors over intergenic E. Coli regions, we observed that the densities of TFBS […]

library_books

Elucidating the evolutionary history and expression patterns of nucleoside phosphorylase paralogs (vegetative storage proteins) in Populus and the plant kingdom

2013
BMC Plant Biol
PMCID: 3751785
PMID: 23957885
DOI: 10.1186/1471-2229-13-118

[…] ved from the Populus trichocarpa genome v2.2 in Phytozome (http://www.phytozome.net/). In silico analyses of these regions were performed using the prediction programs MEME (http://meme.nbcr.net) and MotifClick (http://motifclick.uncc.edu/) to determine overrepresented 8 bp motifs [,]. MEME uses an expected-maximization strategy to detect overrepresented motifs whereas MotifClick employs a graph-b […]

MotifClick institution(s)
Department of Bioinformatics and Genomics, Center for Bioinformatics Research, the University of North Carolina at Charlotte, NC, USA

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