Gene Feature Identification

Abstract

The identification of all genes is one of the goals of any genome‐sequencing project. Apart from laboratory techniques, genes can also be identified by using computational, homology‐based or ab initio (model‐based) methods, which differ in their performance according to the sequence being analysed. With the growing number of sequenced genomes, comparative genomics is becoming the most powerful method for deciphering genomes.

Keywords: gene prediction; comparative genomics; gene structure; sequence similarity

Figure 1.

Fragment of the xenopus genome annotated using Ensembl pipeline. Ensembl genes are shown together with Genscan and FGENESH predictions, EST genes and UniProt and UniGene alignments.

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Further Reading

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Do JH and Choi DK (2006) Computational approaches to gene prediction. Journal of Microbiology 44: 137–144.

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How to Cite close
Makałowska, Izabela(Jul 2007) Gene Feature Identification. In: eLS. John Wiley & Sons Ltd, Chichester. http://www.els.net [doi: 10.1002/9780470015902.a0005319.pub2]