Windsor Aaron J, Mitchell-Olds Thomas
Max-Planck-Institut fuer chemische Oekologie, Abteilung Genetik und Evolution, Hans-Knoell-Strasse 8, D-07745 Jena, Germany.
Curr Opin Biotechnol. 2006 Apr;17(2):161-7. doi: 10.1016/j.copbio.2006.01.007. Epub 2006 Feb 3.
With the increasing availability of data from multiple eukaryotic genome sequencing projects, attention has focused on interspecific comparisons to discover novel genes and transcribed genomic sequences. Generally, these extrinsic strategies combine ab initio gene prediction with expression and/or homology data to identify conserved gene candidates between two or more genomes. Interspecific sequence analyses have proven invaluable for the improvement of existing annotations, automation of annotation, and identification of novel coding regions and splice variants. Further, comparative genomic approaches hold the promise of improved prediction of terminal or small exons, microRNA precursors, and small peptide-encoding open reading frames--sequence elements that are difficult to identify through purely intrinsic methodologies in the absence of experimental data.
随着来自多个真核生物基因组测序项目的数据越来越容易获取，人们的注意力集中在种间比较上，以发现新基因和转录的基因组序列。一般来说，这些外部策略将从头基因预测与表达和/或同源性数据相结合，以识别两个或多个基因组之间保守的基因候选物。种间序列分析已被证明对于改进现有注释、注释自动化以及识别新的编码区域和剪接变体非常有价值。此外，比较基因组方法有望改进对末端或小外显子、微小RNA前体和小肽编码开放阅读框的预测，这些序列元件在缺乏实验数据的情况下很难通过纯粹的内在方法来识别。
