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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...

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Detalles Bibliográficos
Autores principales: Wang, Xuewen, Lu, Peng, Luo, Zhaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2013
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
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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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