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PARSEC: PAtteRn SEarch and Contextualization
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Abstract
Summary: We present PARSEC (PAtteRn Search and Contextualization), a new open source platform for guided discovery, allowing localization and biological characterization of short genomic sites in entire eukaryotic genomes. PARSEC can search for a sequence or a degenerated pattern. The retrieved set of genomic sites can be characterized in terms of (i) conservation in model organisms, (ii) genomic context (proximity to genes) and (iii) function of neighboring genes. These modules allow the user to explore, visualize, filter and extract biological knowledge from a set of short genomic regions such as transcription factor binding sites.
Availability: Web site implemented in Java, JavaScript and C++, with all major browsers supported. Freely available at lbgi.fr/parsec. Source code is freely available at sourceforge.net/projects/genomicparsec.
Contact: odile.lecompte@unistra.fr
Supplementary information: Supplementary data are available at Bioinformatics online.
Oxford University Press (OUP)
Title: PARSEC: PAtteRn SEarch and Contextualization
Description:
Abstract
Summary: We present PARSEC (PAtteRn Search and Contextualization), a new open source platform for guided discovery, allowing localization and biological characterization of short genomic sites in entire eukaryotic genomes.
PARSEC can search for a sequence or a degenerated pattern.
The retrieved set of genomic sites can be characterized in terms of (i) conservation in model organisms, (ii) genomic context (proximity to genes) and (iii) function of neighboring genes.
These modules allow the user to explore, visualize, filter and extract biological knowledge from a set of short genomic regions such as transcription factor binding sites.
Availability: Web site implemented in Java, JavaScript and C++, with all major browsers supported.
Freely available at lbgi.
fr/parsec.
Source code is freely available at sourceforge.
net/projects/genomicparsec.
Contact: odile.
lecompte@unistra.
fr
Supplementary information: Supplementary data are available at Bioinformatics online.
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