Gene finding in the chicken genome

Eduardo Eyras, Alexandre Reymond, Robert Castelo, Jacqueline M. Bye, Francisco Camara, Paul Flicek, Elizabeth J. Huckle, Genis Parra, David D. Shteynberg, Carine Wyss, Jane Rogers, Stylianos E. Antonarakis, Ewan Birney, Roderic Guigo, Michael R. Brent

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


Background: Despite the continuous production of genome sequence for a number of organisms, reliable, comprehensive, and cost effective gene prediction remains problematic. This is particularly true for genomes for which there is not a large collection of known gene sequences, such as the recently published chicken genome. We used the chicken sequence to test comparative and homology-based gene-finding methods followed by experimental validation as an effective genome annotation method. Results: We performed experimental evaluation by RT-PCR of three different computational gene finders, Ensembl, SGP2 and TWINSCAN, applied to the chicken genome. A Venn diagram was computed and each component of it was evaluated. The results showed that de novo comparative methods can identify up to about 700 chicken genes with no previous evidence of expression, and can correctly extend about 40% of homology-based predictions at the 5′ end. Conclusions: De novo comparative gene prediction followed by experimental verification is effective at enhancing the annotation of the newly sequenced genomes provided by standard homology-based methods.

Original languageEnglish
Article number131
JournalBMC bioinformatics
StatePublished - May 30 2005


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