MatGAT: An application that generates similarity/identity matrices using protein or DNA sequences
| Autor: | Campanella, James J, Bitincka, Ledion, Smalley, John |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2003 |
| Předmět: |
Internet
Sequence Homology Amino Acid Methodology Article Computational Biology alignment Sequence Analysis DNA sequence lcsh:Computer applications to medicine. Medical informatics nucleic acid lcsh:Biology (General) Sequence Analysis Protein Sequence Homology Nucleic Acid pairwise analysis Computer Graphics Animals Humans lcsh:R858-859.7 Databases Nucleic Acid protein Sequence Alignment similarity matrix lcsh:QH301-705.5 Software |
| Zdroj: | BMC Bioinformatics, Vol 4, Iss 1, p 29 (2003) BMC Bioinformatics |
| ISSN: | 1471-2105 |
| Popis: | Background The rapid increase in the amount of protein and DNA sequence information available has become almost overwhelming to researchers. So much information is now accessible that high-quality, functional gene analysis and categorization has become a major goal for many laboratories. To aid in this categorization, there is a need for non-commercial software that is able to both align sequences and also calculate pairwise levels of similarity/identity. Results We have developed MatGAT (Matrix Global Alignment Tool), a simple, easy to use computer application that generates similarity/identity matrices for DNA or protein sequences without needing pre-alignment of the data. Conclusions The advantages of this program over other software are that it is open-source freeware, can analyze a large number of sequences simultaneously, can visualize both sequence alignment and similarity/identity values concurrently, employs global alignment in calculations, and has been formatted to run under both the Unix and the Microsoft Windows Operating Systems. We are presently completing the Macintosh-based version of the program. |
| Databáze: | OpenAIRE |
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