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A computational and experimental approach to validating annotations and gene predictions in the Drosophila melanogaster genome.
Yandell, Mark; Bailey, Adina M; Misra, Sima; Shu, ShengQiang; Wiel, Colin; Evans-Holm, Martha; Celniker, Susan E; Rubin, Gerald M.
Affiliation
  • Yandell M; Howard Hughes Medical Institute and Department of Molecular and Cell Biology, University of California, Life Sciences Addition, Berkeley, CA 94720-3200, USA. myandell@fruitfly.org
Proc Natl Acad Sci U S A ; 102(5): 1566-71, 2005 Feb 01.
Article in En | MEDLINE | ID: mdl-15668397
ABSTRACT
Five years after the completion of the sequence of the Drosophila melanogaster genome, the number of protein-coding genes it contains remains a matter of debate; the number of computational gene predictions greatly exceeds the number of validated gene annotations. We have assembled a collection of >10,000 gene predictions that do not overlap existing gene annotations and have developed a process for their validation that allows us to efficiently prioritize and experimentally validate predictions from various sources by sequencing RT-PCR products to confirm gene structures. Our data provide experimental evidence for 122 protein-coding genes. Our analyses suggest that the entire collection of predictions contains only approximately 700 additional protein-coding genes. Although we cannot rule out the discovery of genes with unusual features that make them refractory to existing methods, our results suggest that the D. melanogaster genome contains approximately 14,000 protein-coding genes.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Genome / Drosophila Proteins / Drosophila melanogaster Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Year: 2005 Type: Article

Full text: 1 Database: MEDLINE Main subject: Genome / Drosophila Proteins / Drosophila melanogaster Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Year: 2005 Type: Article