关键词: Gain of function Gene ontology Homology annotation Loss of function Phylogenetic annotation

Mesh : Molecular Sequence Annotation / methods Gene Ontology Computational Biology / methods Phylogeny Software Sequence Homology Databases, Genetic Humans

来  源:   DOI:10.1007/978-1-0716-4007-4_15

Abstract:
The Gene Ontology (GO) project describes the functions of the gene products of organisms from all kingdoms of life in a standardized way, enabling powerful analyses of experiments involving genome-wide analysis. The scientific literature is used to convert experimental results into GO annotations that systematically classify gene products\' functions. However, to address the fact that only a minor fraction of all genes has been characterized experimentally, multiple predictive methods to assign GO annotations have been developed since the inception of GO. Sequence homologies between novel genes and genes with known functions help to approximate the roles of these non-characterized genes. Here we describe the main sequence homology methods to produce annotations: pairwise comparison (BLAST), protein profile models (InterPro), and phylogenetic-based annotation (PAINT). Some of these methods can be implemented with genome analysis pipelines (BLAST and InterPro2GO), while PAINT is curated by the GO consortium.
摘要:
基因本体论(GO)项目以标准化的方式描述了来自所有生命王国的生物体的基因产物的功能,能够对涉及全基因组分析的实验进行强大的分析。科学文献用于将实验结果转换为GO注释,对基因产物的功能进行系统分类。然而,为了解决这样一个事实,即所有基因中只有一小部分被实验表征,自GO成立以来,已经开发了多种预测方法来分配GO注释。新基因和具有已知功能的基因之间的序列同源性有助于近似这些非表征基因的作用。在这里,我们描述了产生注释的主要序列同源性方法:成对比较(BLAST),蛋白质谱模型(InterPro),和基于系统发育的注释(PAINT)。这些方法中的一些可以用基因组分析管道(BLAST和InterPro2GO)来实现,而油漆由GO财团策划。
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