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Pseudomonas Genome Database: facilitating user-friendly, comprehensive comparisons of microbial genomes.

机译:假单胞菌基因组数据库:方便用户进行微生物基因组的全面比较。

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摘要

Pseudomonas aeruginosa is a well-studied opportunistic pathogen that is particularly known for its intrinsic antimicrobial resistance, diverse metabolic capacity, and its ability to cause life threatening infections in cystic fibrosis patients. The Pseudomonas Genome Database (http://www.pseudomonas.com) was originally developed as a resource for peer-reviewed, continually updated annotation for the Pseudomonas aeruginosa PAO1 reference strain genome. In order to facilitate cross-strain and cross-species genome comparisons with other Pseudomonas species of importance, we have now expanded the database capabilities to include all Pseudomonas species, and have developed or incorporated methods to facilitate high quality comparative genomics. The database contains robust assessment of orthologs, a novel ortholog clustering method, and incorporates five views of the data at the sequence and annotation levels (Gbrowse, Mauve and custom views) to facilitate genome comparisons. A choice of simple and more flexible user-friendly Boolean search features allows researchers to search and compare annotations or sequences within or between genomes. Other features include more accurate protein subcellular localization predictions and a user-friendly, Boolean searchable log file of updates for the reference strain PAO1. This database aims to continue to provide a high quality, annotated genome resource for the research community and is available under an open source license.
机译:铜绿假单胞菌是一种经过充分研究的机会性病原体,以其固有的抗药性,多样化的代谢能力以及在囊性纤维化患者中引起危及生命的感染的能力而闻名。假单胞菌基因组数据库(http://www.pseudomonas.com)最初是作为铜绿假单胞菌PAO1参考菌株基因组的同行评审,不断更新注释的资源而开发的。为了便于与其他重要的假单胞菌属物种进行跨菌株和跨物种的基因组比较,我们现在已经扩展了数据库功能,以包括所有假单胞菌属物种,并且已经开发或并入了促进高质量比较基因组学的方法。该数据库包含对直系同源物的稳健评估,一种新颖的直系同源物聚类方法,并在序列和注释级别(Gbrowse,Mauve和定制视图)并入了五个数据视图,以促进基因组比较。选择简单而灵活的用户友好型布尔搜索功能,使研究人员可以搜索和比较基因组内或之间的注释或序列。其他功能包括更准确的蛋白质亚细胞定位预测和参考菌株PAO1更新的用户友好的布尔搜索日志文件。该数据库旨在继续为研究社区提供高质量的带注释的基因组资源,并已获得开源许可。

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