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

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

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@ebi.ac.uk

Detaljer

Författare
  • Leon Goldovsky
  • Paul Janssen
  • Dag Ahrén
  • Benjamin Audit
  • Ildefonso Cases
  • Nikos Darzentas
  • Anton Enright
  • Núria López-Bigas
  • José Peregrin-Alvarez
  • Mike Smith
  • Sophia Tsoka
  • Victor Kunin
  • Christos Ouzounis
Externa organisationer
  • External Organization - Unknown
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Bioinformatik och systembiologi
Originalspråkengelska
Sidor (från-till)3806-3810
TidskriftBioinformatics
Volym21
Utgivningsnummer19
StatusPublished - 2005
PublikationskategoriForskning
Peer review utfördJa