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The COGcollator tool is based on the COG (Clusters of Orthologous Groups) database developed and maintained by the team of Eugene V. Koonin. The COG database classifies prokaryotic proteins from a taxonomically divergent species and covers around 75% of proteins encoded by a typical genome. The COG approach allowed the authors to sort homologous proteins into orthologous groups, each of which is annotated and assigned to a general cellular metabolic process. In short, COGcollator is a tool for identification and visualization of evolutionary relationships not between proteins, but between whole COGs, which usually correspond to protein families. The previous version of this tool was published in Biology Direct seven years ago. Here, we provide its major update with an improved web interface which matches the last release of the COG database and has several important additions to our original tool. The web server for COGcollator 2.0 is freely available at: http://boabio.belozersky.msu.ru/en/COGcollator. All constructed profile HMMs for 4870 COGs are united in the database and are available for download. We also provide another option to access our data: DomainAnalyser, a highly versatile sequence search tool which is based on the hmmscan from HMMer package and allows to visualize a domain structure of a protein set in both interactive and downloadable way. DomainAnalyser supports our database of profile HMM for COGs as well as a widely used Pfam domain database. This tool is freely available at: http://boabio.belozersky.msu.ru/en/DomainAnalyser.