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Pattern-based Search of Epigenomic Data Using GeNemo
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PARSEC: PAtteRn SEarch and Contextualization.

Alexis Allot1, Yannick-Noël Anno, Laetitia Poidevin

  • 1Laboratoire de Bioinformatique et Génomique Intégratives, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC) CNRS/INSERM/UDS, 67404, Illkirch, France.

Bioinformatics (Oxford, England)
|August 10, 2013
PubMed
Summary
This summary is machine-generated.

We developed PARSEC (PAtteRn Search and Contextualization), an open-source platform for discovering and characterizing short genomic sites in eukaryotic genomes. It aids in understanding gene function and conservation by analyzing genomic patterns.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Short genomic sequences play crucial roles in gene regulation.
  • Identifying and characterizing these sites is essential for understanding biological processes.
  • Existing tools may lack comprehensive features for guided discovery and contextualization.

Purpose of the Study:

  • To introduce PARSEC (PAtteRn Search and Contextualization), a novel open-source platform.
  • To enable guided discovery and biological characterization of short genomic sites.
  • To facilitate the analysis of eukaryotic genomes.

Main Methods:

  • Developed an open-source platform named PARSEC.
  • Implemented functionalities for searching exact sequences and degenerate patterns.
  • Integrated modules for analyzing conservation, genomic context, and neighboring gene functions.

Main Results:

  • PARSEC allows for the localization of short genomic sites across entire eukaryotic genomes.
  • The platform enables characterization based on conservation, genomic proximity to genes, and functional annotation of neighboring genes.
  • Users can explore, visualize, filter, and extract biological insights from genomic regions.

Conclusions:

  • PARSEC provides a comprehensive solution for the guided discovery of short genomic regions.
  • The platform facilitates the extraction of biological knowledge, particularly for sites like transcription factor binding sites.
  • PARSEC is freely available, promoting accessibility and further research in genomics.