| Literature DB >> 25017189 |
Nizar Fawal1, Qiang Li1, Catherine Mathé1, Christophe Dunand2.
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.Mesh:
Year: 2014 PMID: 25017189 DOI: 10.1016/j.tig.2014.06.004
Source DB: PubMed Journal: Trends Genet ISSN: 0168-9525 Impact factor: 11.639