Founded in 1975 as an independent research institution, now part of Vilnius University, the Institute of Biotechnology strives to maintain the high standards of excellence in scientific endeavour, research training and technological advance with its main focus in a broadly defined field of molecular biotechnology including nucleic acid and protein technologies, bioinformatics, molecular diagnostics, drug design, next generation epigenomic and gene editing technologies. The Institute provides an interface between advanced education, basic research and technological development for the economic and social benefit of Lithuania.
COMA (Comparison Of Multiple Alignments) is a method for detection of distant evolutionary relationship (homology) through comparison of multiple protein sequence alignments. For convenience, the COMA software package includes programs for constructing profiles from multiple alignments, generating a profile database from a set of profiles, searching a profile (multiple alignment) against a profile database, etc. COMA output consists of pairwise alignments between profiles (multiple alignments) with estimated values of statistical significance, which indicates the probability that the aligned pair of profiles is a random match.
The COMA installation package includes binaries for Linux x86, Linux x86_64, and MS Win32 platforms. The package includes source files as well, so you are free to build the programs on any other system. The instructions in the README file will provide a guidance how to do it.
The COMA software package is licensed under a Creative Commons Attribution-Noncommercial 3.0 Unported License.
To install COMA, download the most recent version:
coma.1.10.tgz [version 1.10] [~31M]
Uncompress the archive (tar -zxf <filename.tgz>) and follow the instructions in the README file.
In the Data Files directory, you will find regularly updated archived COMA profile databases (the same ones as used by the COMA server) for PDB filtered at 40% sequence identity, SCOP filtered at 40% sequence identity, and PFAM. The profile databases are in the text format and are cross-platform portable.