School of Biomedical Engineering, Science and Health Systems, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA, Electrical & Computer Engineering Department, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA and Rachel & Menachem Mendelovitch Evolutionary Processes of Mutation & Natural Selection Research Laboratory, Department of Genetics, the Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa 31096, Israel.
Nucleic Acids Res. 2014 Jan;42(Database issue):D625-32. doi: 10.1093/nar/gkt1094. Epub 2013 Nov 5.
POGO-DB (http://pogo.ece.drexel.edu/) provides an easy platform for comparative microbial genomics. POGO-DB allows users to compare genomes using pre-computed metrics that were derived from extensive computationally intensive BLAST comparisons of >2000 microbes. These metrics include (i) average protein sequence identity across all orthologs shared by two genomes, (ii) genomic fluidity (a measure of gene content dissimilarity), (iii) number of 'orthologs' shared between two genomes, (iv) pairwise identity of the 16S ribosomal RNA genes and (v) pairwise identity of an additional 73 marker genes present in >90% prokaryotes. Users can visualize these metrics against each other in a 2D plot for exploratory analysis of genome similarity and of how different aspects of genome similarity relate to each other. The results of these comparisons are fully downloadable. In addition, users can download raw BLAST results for all or user-selected comparisons. Therefore, we provide users with full flexibility to carry out their own downstream analyses, by creating easy access to data that would normally require heavy computational resources to generate. POGO-DB should prove highly useful for researchers interested in comparative microbiology and benefit the microbiome/metagenomic communities by providing the information needed to select suitable phylogenetic marker genes within particular lineages.
POGO-DB(http://pogo.ece.drexel.edu/)为比较微生物基因组学提供了一个简单的平台。POGO-DB 允许用户使用预先计算的指标来比较基因组,这些指标是通过对超过 2000 种微生物进行广泛的计算密集型 BLAST 比较得出的。这些指标包括:(i)两个基因组共有的所有直系同源物的平均蛋白质序列同一性,(ii)基因组流动性(基因内容差异的度量),(iii)两个基因组之间共享的“直系同源物”数量,(iv)16S 核糖体 RNA 基因的成对同一性,以及(v)在超过 90%的原核生物中存在的另外 73 个标记基因的成对同一性。用户可以在二维图中可视化这些指标,以探索基因组相似性和基因组相似性的不同方面之间的关系。这些比较的结果是完全可下载的。此外,用户可以下载所有或用户选择的比较的原始 BLAST 结果。因此,我们为用户提供了充分的灵活性,可以通过创建易于访问的数据来进行自己的下游分析,这些数据通常需要大量的计算资源来生成。POGO-DB 应该对从事比较微生物学研究的研究人员非常有用,并通过提供在特定谱系中选择合适的系统发育标记基因所需的信息,使微生物组/宏基因组社区受益。