Department of Bioinformatics, Institute for Microbiology and Genetics, Georg-August University Göttingen, Goldschmidtstr. 1, 37077 Göttingen, Germany.
Nucleic Acids Res. 2011 Jul;39(Web Server issue):W518-23. doi: 10.1093/nar/gkr388. Epub 2011 May 26.
Analyzing the functional potential of newly sequenced genomes and metagenomes has become a common task in biomedical and biological research. With the advent of high-throughput sequencing technologies comparative metagenomics opens the way to elucidate the genetically determined similarities and differences of complex microbial communities. We developed the web server 'CoMet' (http://comet.gobics.de), which provides an easy-to-use comparative metagenomics platform that is well-suitable for the analysis of large collections of metagenomic short read data. CoMet combines the ORF finding and subsequent assignment of protein sequences to Pfam domain families with a comparative statistical analysis. Besides comprehensive tabular data files, the CoMet server also provides visually interpretable output in terms of hierarchical clustering and multi-dimensional scaling plots and thus allows a quick overview of a given set of metagenomic samples.
分析新测序基因组和宏基因组的功能潜力已成为生物医学和生物学研究中的一项常见任务。随着高通量测序技术的出现,比较宏基因组学为阐明复杂微生物群落中遗传决定的相似性和差异性开辟了道路。我们开发了一个名为 CoMet 的网络服务器(http://comet.gobics.de),它提供了一个易于使用的比较宏基因组学平台,非常适合分析大量的宏基因组短读数据。CoMet 将 ORF 发现和随后的蛋白质序列分配给 Pfam 结构域家族与比较统计分析相结合。除了全面的表格数据文件外,CoMet 服务器还提供了基于层次聚类和多维尺度图的直观可解释输出,从而可以快速概览给定的一组宏基因组样本。