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寻找基因组注释的一致性:可靠的基因簇及其应用方法

In search of genome annotation consistency: solid gene clusters and how to use them.

作者信息

Davis James J, Olsen Gary J, Overbeek Ross, Vonstein Veronika, Xia Fangfang

机构信息

Institute for Genomic Biology, MC-195, University of Illinois at Urbana-Champaign, 1206 W. Gregory Dr., Urbana, IL, 61801, USA.

Department of Microbiology, University of Illinois at Urbana-Champaign, 601 S. Goodwin Ave., Urbana, IL, 61801, USA.

出版信息

3 Biotech. 2014 Jun;4(3):331-335. doi: 10.1007/s13205-013-0152-2. Epub 2013 Jul 6.

Abstract

Maintaining consistency in genome annotations is important for supporting many computational tasks, particularly metabolic modeling. The SEED project has implemented a process that improves annotation consistencies across microbial genomes for proteins with conserved sequences and genomic context. In this research report, we describe this process and show how this effort has resulted in improvements to microbial genome annotations in the SEED. We also compare SEED annotation consistencies with other commonly used resources such as IMG (the Joint Genome Institute's Integrated Microbial Genomes system), RefSeq (the National Center for Biotechnology Information's Reference Sequence Database), Swiss-Prot (the annotated protein sequence database of the Swiss Institute of Bioinformatics, European Molecular Biology Laboratory and the European Bioinformatics Institute) and TrEMBL (Translated European Molecular Biology Laboratory nucleotide sequence data Library). Our analysis indicates that manual and computational efforts are paying off for the databases where consistency is a major goal.

摘要

保持基因组注释的一致性对于支持许多计算任务至关重要,尤其是代谢建模。SEED项目实施了一个流程,可提高具有保守序列和基因组背景的蛋白质在微生物基因组中的注释一致性。在本研究报告中,我们描述了这一流程,并展示了这一工作如何改进了SEED中微生物基因组的注释。我们还将SEED注释的一致性与其他常用资源进行了比较,如IMG(联合基因组研究所的综合微生物基因组系统)、RefSeq(美国国家生物技术信息中心的参考序列数据库)、Swiss-Prot(瑞士生物信息学研究所、欧洲分子生物学实验室和欧洲生物信息学研究所的注释蛋白质序列数据库)和TrEMBL(翻译后的欧洲分子生物学实验室核苷酸序列数据库)。我们的分析表明,对于以一致性为主要目标的数据库而言,人工和计算方面的努力正在取得成效。

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