PARSEC - PAtteRn SEarch / Context Icon

PARSEC - PAtteRn SEarch / Context

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PARSEC - PAtteRn SEarch and Contextualization

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Description

The characterization of genomic sites is a major challenge in the understanding and exploitation of next generation sequencing data. Most genomic sites are represented by short, degenerated motifs with a scattered distribution and sometimes with biological function (ex: regulation of gene expression, splicing patterns or epigenetics signals). These motifs are associated with a huge amount of noise and thus, the development of a computational platform for accurate detection of genomic sites requires the integration of various large-scale biological data in order to filter out false positives.

PARSEC represents an intuitive, modular (easily extensible) and all-in-one solution for the efficient integration of lots of diverse genomic information in order to perform nonlinear localization and characterization of biological sites in a user-friendly environment.

See the wiki for hardware requirements and supported browsers.

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Additional Project Details

Languages

English

Intended Audience

Science/Research

User Interface

Web-based

Programming Language

C++, Java

Registered

2013-02-25
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