真核生物基因预测策略的现状概述。

An overview of the current status of eukaryote gene prediction strategies.

机构信息

Department of Biological Sciences, Cork Institute of Technology, Rossa Avenue, Bishopstown, Cork, Ireland.

出版信息

Gene. 2010 Aug 1;461(1-2):1-4. doi: 10.1016/j.gene.2010.04.008. Epub 2010 Apr 27.

DOI:10.1016/j.gene.2010.04.008

PMID:20430068

Abstract

As sequence data continues to be generated at a logarithmic rate our dependence on effective in silico gene prediction methods is also increasing. Herein, I review the current state of eukaryote gene prediction methods; their strengths, weaknesses and future directions.

摘要

随着序列数据以对数速率持续产生，我们对有效计算机基因预测方法的依赖也在增加。本文综述了真核生物基因预测方法的现状；它们的优缺点和未来方向。