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Trends Genet. 2014 Aug;30(8):323-5. doi: 10.1016/j.tig.2014.06.004. Epub 2014 Jul 10.

Automatic multigenic family annotation: risks and solutions.

Author information

1
Université de Toulouse, UPS, UMR 5546, Laboratoire de Recherche en Sciences Végétales, BP 42617, F-31326 Castanet-Tolosan, France; CNRS, UMR 5546, BP 42617, F-31326 Castanet-Tolosan, France.
2
Université de Toulouse, UPS, UMR 5546, Laboratoire de Recherche en Sciences Végétales, BP 42617, F-31326 Castanet-Tolosan, France; CNRS, UMR 5546, BP 42617, F-31326 Castanet-Tolosan, France. Electronic address: dunand@lrsv.ups-tlse.fr.

Abstract

A major challenge facing bioinformatics today is the efficient annotation of the exponential flow of genomic data. This has led to an increasing dependence on automatic annotation procedures, despite the relatively high error rates of these programs, particularly for multigenic families. We discuss here the errors and biases introduced by automatic genome annotations, focusing on issues with structural annotations of gene families, and suggest ways to overcome these limitations.

PMID:
25017189
DOI:
10.1016/j.tig.2014.06.004
[Indexed for MEDLINE]

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