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GMATo: A novel tool for the identification and analysis of microsatellites in large genomes
Simple Sequence Repeats (SSR), also called microsatellite, is very useful for genetic marker development and genome application. The increasing whole sequences of more and more large genomes provide sources for SSR mining in silico. However currently existing SSR mining tools can’t process large gen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705631/ https://www.ncbi.nlm.nih.gov/pubmed/23861572 http://dx.doi.org/10.6026/97320630009541 |
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author | Wang, Xuewen Lu, Peng Luo, Zhaopeng |
author_facet | Wang, Xuewen Lu, Peng Luo, Zhaopeng |
author_sort | Wang, Xuewen |
collection | PubMed |
description | Simple Sequence Repeats (SSR), also called microsatellite, is very useful for genetic marker development and genome application. The increasing whole sequences of more and more large genomes provide sources for SSR mining in silico. However currently existing SSR mining tools can’t process large genomes efficiently and generate no or poor statistics. Genome-wide Microsatellite Analyzing Tool (GMATo) is a novel tool for SSR mining and statistics at genome aspects. It is faster and more accurate than existed tools SSR Locator and MISA. If a DNA sequence was too long, it was chunked to short segments at several Mb followed by motifs generation and searching using Perl powerful pattern match function. Matched loci data from each chunk were then merged to produce final SSR loci information. Only one input file is required which contains raw fasta DNA sequences and output files in tabular format list all SSR loci information and statistical distribution at four classifications. GMATo was programmed in Java and Perl with both graphic and command line interface, either executable alone in platform independent manner with full parameters control. Software GMATo is a powerful tool for complete SSR characterization in genomes at any size. AVAILABILITY: The soft GMATo is freely available at http://sourceforge.net/projects/gmato/files/?source=navbar or on contact |
format | Online Article Text |
id | pubmed-3705631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-37056312013-07-16 GMATo: A novel tool for the identification and analysis of microsatellites in large genomes Wang, Xuewen Lu, Peng Luo, Zhaopeng Bioinformation Software Simple Sequence Repeats (SSR), also called microsatellite, is very useful for genetic marker development and genome application. The increasing whole sequences of more and more large genomes provide sources for SSR mining in silico. However currently existing SSR mining tools can’t process large genomes efficiently and generate no or poor statistics. Genome-wide Microsatellite Analyzing Tool (GMATo) is a novel tool for SSR mining and statistics at genome aspects. It is faster and more accurate than existed tools SSR Locator and MISA. If a DNA sequence was too long, it was chunked to short segments at several Mb followed by motifs generation and searching using Perl powerful pattern match function. Matched loci data from each chunk were then merged to produce final SSR loci information. Only one input file is required which contains raw fasta DNA sequences and output files in tabular format list all SSR loci information and statistical distribution at four classifications. GMATo was programmed in Java and Perl with both graphic and command line interface, either executable alone in platform independent manner with full parameters control. Software GMATo is a powerful tool for complete SSR characterization in genomes at any size. AVAILABILITY: The soft GMATo is freely available at http://sourceforge.net/projects/gmato/files/?source=navbar or on contact Biomedical Informatics 2013-06-08 /pmc/articles/PMC3705631/ /pubmed/23861572 http://dx.doi.org/10.6026/97320630009541 Text en © 2013 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Software Wang, Xuewen Lu, Peng Luo, Zhaopeng GMATo: A novel tool for the identification and analysis of microsatellites in large genomes |
title | GMATo: A novel tool for the identification and analysis of microsatellites in large genomes |
title_full | GMATo: A novel tool for the identification and analysis of microsatellites in large genomes |
title_fullStr | GMATo: A novel tool for the identification and analysis of microsatellites in large genomes |
title_full_unstemmed | GMATo: A novel tool for the identification and analysis of microsatellites in large genomes |
title_short | GMATo: A novel tool for the identification and analysis of microsatellites in large genomes |
title_sort | gmato: a novel tool for the identification and analysis of microsatellites in large genomes |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705631/ https://www.ncbi.nlm.nih.gov/pubmed/23861572 http://dx.doi.org/10.6026/97320630009541 |
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