Winsor Geoffrey L, Van Rossum Thea, Lo Raymond, Khaira Bhavjinder, Whiteside Matthew D, Hancock Robert E W, Brinkman Fiona S L
Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
Nucleic Acids Res. 2009 Jan;37(Database issue):D483-8. doi: 10.1093/nar/gkn861. Epub 2008 Oct 31.
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.
铜绿假单胞菌是一种经过充分研究的机会致病菌,尤其以其固有的抗菌耐药性、多样的代谢能力以及在囊性纤维化患者中引发危及生命感染的能力而闻名。铜绿假单胞菌基因组数据库(http://www.pseudomonas.com)最初是作为一个为铜绿假单胞菌PAO1参考菌株基因组提供同行评审且持续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物种进行跨菌株和跨物种的基因组比较,我们现在已扩展了数据库功能,将所有假单胞菌物种纳入其中,并开发或整合了一些方法以促进高质量的比较基因组学研究。该数据库包含对直系同源基因的可靠评估、一种新颖的直系同源基因聚类方法,并在序列和注释层面整合了五种数据视图(Gbrowse、Mauve和自定义视图)以方便基因组比较。简单且更灵活的用户友好型布尔搜索功能使研究人员能够搜索和比较基因组内部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以及一个用户友好的、可通过布尔搜索的参考菌株PAO1更新日志文件。该数据库旨在继续为研究界提供高质量的注释基因组资源,并根据开源许可提供使用。