Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Nucleic Acids Res. 2002 Oct 1;30(19):4103-17.

Current methods of gene prediction, their strengths and weaknesses.

Author information

  • 1Institut de Pharmacologie et Biologie Structurale, UMR 5089, 205 route de Narbonne, F-31077 Toulouse Cedex, France. catherine.mathe@ipbs.fr

Abstract

While the genomes of many organisms have been sequenced over the last few years, transforming such raw sequence data into knowledge remains a hard task. A great number of prediction programs have been developed that try to address one part of this problem, which consists of locating the genes along a genome. This paper reviews the existing approaches to predicting genes in eukaryotic genomes and underlines their intrinsic advantages and limitations. The main mathematical models and computational algorithms adopted are also briefly described and the resulting software classified according to both the method and the type of evidence used. Finally, the several difficulties and pitfalls encountered by the programs are detailed, showing that improvements are needed and that new directions must be considered.

PMID:
12364589
[PubMed - indexed for MEDLINE]
PMCID:
PMC140543
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for HighWire Icon for PubMed Central
    Loading ...
    Write to the Help Desk