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CoGenT++: an extensive and extensible data environment for computational genomics

Författare:
  • Leon Goldovsky
  • Paul Janssen
  • Dag Ahrén (Dr)
  • Benjamin Audit
  • Ildefonso Cases
  • Nikos Darzentas
  • Anton Enright
  • Núria López-Bigas
  • José Peregrin-Alvarez
  • Mike Smith
  • Sophia Tsoka
  • Victor Kunin
  • Christos Ouzounis
Publiceringsår: 2005
Språk: Engelska
Sidor: 3806-3810
Publikation/Tidskrift/Serie: Bioinformatics
Volym: 21
Nummer: 19
Dokumenttyp: Artikel
Förlag: Oxford Journals

Sammanfattning

Motivation: CoGenT++ is a data environment for computational research in comparative and functional genomics, designed to address issues of consistency, reproducibility, scalability and accessibility.

Description: CoGenT++ facilitates the re-distribution of all fully sequenced and published genomes, storing information about species, gene names and protein sequences. We describe our scalable implementation of ProXSim, a continually updated all-against-all similarity database, which stores pairwise relationships between all genome sequences. Based on these similarities, derived databases are generated for gene fusions—AllFuse, putative orthologs—OFAM, protein families—TRIBES, phylogenetic profiles—ProfUse and phylogenetic trees. Extensions based on the CoGenT++ environment include disease gene prediction, pattern discovery, automated domain detection, genome annotation and ancestral reconstruction.

Conclusion: CoGenT++ provides a comprehensive environment for computational genomics, accessible primarily for large-scale analyses as well as manual browsing.

Availability: The database and component downloads are accessible at http://cgg.ebi.ac.uk/cogentpp.html.

Contact: ouzounis [at] ebi [dot] ac [dot] uk

Disputation

Nyckelord

  • Biology and Life Sciences

Övriga

Published
Yes
  • Microbial Ecology
  • ISSN: 1367-4803

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