Literature DB >> 12002220

The computational challenges of applying comparative-based computational methods to whole genomes.

Inna Dubchak1, Lior Pachter.   

Abstract

The explosion in genomic sequence available in public databases has resulted in an unprecedented opportunity for computational whole genome analyses. A number of promising comparative-based approaches have been developed for gene finding, regulatory element discovery and other purposes, and it is clear that these tools will play a fundamental role in analysing the enormous amount of new data that is currently being generated. The synthesis of computationally intensive comparative computational approaches with the requirement for whole genome analysis represents both an unprecedented challenge and opportunity for computational scientists. We focus on a few of these challenges, using by way of example the problems of alignment, gene finding and regulatory element discovery, and discuss the issues that have arisen in attempts to solve these problems in the context of whole genome analysis pipelines.

Mesh:

Year:  2002        PMID: 12002220     DOI: 10.1093/bib/3.1.18

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  1 in total

1.  AVID: A global alignment program.

Authors:  Nick Bray; Inna Dubchak; Lior Pachter
Journal:  Genome Res       Date:  2003-01       Impact factor: 9.043

  1 in total

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