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WAMI: a web server for the analysis of minisatellite maps
BACKGROUND: Minisatellites are genomic loci composed of tandem arrays of short repetitive DNA segments. A minisatellite map is a sequence of symbols that represents the tandem repeat array such that the set of symbols is in one-to-one correspondence with the set of distinct repeats. Due to variation...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2897807/ https://www.ncbi.nlm.nih.gov/pubmed/20525398 http://dx.doi.org/10.1186/1471-2148-10-167 |
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author | Abouelhoda, Mohamed El-Kalioby, Mohamed Giegerich, Robert |
author_facet | Abouelhoda, Mohamed El-Kalioby, Mohamed Giegerich, Robert |
author_sort | Abouelhoda, Mohamed |
collection | PubMed |
description | BACKGROUND: Minisatellites are genomic loci composed of tandem arrays of short repetitive DNA segments. A minisatellite map is a sequence of symbols that represents the tandem repeat array such that the set of symbols is in one-to-one correspondence with the set of distinct repeats. Due to variations in repeat type and organization as well as copy number, the minisatellite maps have been widely used in forensic and population studies. In either domain, researchers need to compare the set of maps to each other, to build phylogenetic trees, to spot structural variations, and to study duplication dynamics. Efficient algorithms for these tasks are required to carry them out reliably and in reasonable time. RESULTS: In this paper we present WAMI, a web-server for the analysis of minisatellite maps. It performs the above mentioned computational tasks using efficient algorithms that take the model of map evolution into account. The WAMI interface is easy to use and the results of each analysis task are visualized. CONCLUSIONS: To the best of our knowledge, WAMI is the first server providing all these computational facilities to the minisatellite community. The WAMI web-interface and the source code of the underlying programs are available at http://www.nubios.nileu.edu.eg/tools/wami. |
format | Text |
id | pubmed-2897807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28978072010-07-07 WAMI: a web server for the analysis of minisatellite maps Abouelhoda, Mohamed El-Kalioby, Mohamed Giegerich, Robert BMC Evol Biol Software BACKGROUND: Minisatellites are genomic loci composed of tandem arrays of short repetitive DNA segments. A minisatellite map is a sequence of symbols that represents the tandem repeat array such that the set of symbols is in one-to-one correspondence with the set of distinct repeats. Due to variations in repeat type and organization as well as copy number, the minisatellite maps have been widely used in forensic and population studies. In either domain, researchers need to compare the set of maps to each other, to build phylogenetic trees, to spot structural variations, and to study duplication dynamics. Efficient algorithms for these tasks are required to carry them out reliably and in reasonable time. RESULTS: In this paper we present WAMI, a web-server for the analysis of minisatellite maps. It performs the above mentioned computational tasks using efficient algorithms that take the model of map evolution into account. The WAMI interface is easy to use and the results of each analysis task are visualized. CONCLUSIONS: To the best of our knowledge, WAMI is the first server providing all these computational facilities to the minisatellite community. The WAMI web-interface and the source code of the underlying programs are available at http://www.nubios.nileu.edu.eg/tools/wami. BioMed Central 2010-06-06 /pmc/articles/PMC2897807/ /pubmed/20525398 http://dx.doi.org/10.1186/1471-2148-10-167 Text en Copyright ©2010 Abouelhoda et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Abouelhoda, Mohamed El-Kalioby, Mohamed Giegerich, Robert WAMI: a web server for the analysis of minisatellite maps |
title | WAMI: a web server for the analysis of minisatellite maps |
title_full | WAMI: a web server for the analysis of minisatellite maps |
title_fullStr | WAMI: a web server for the analysis of minisatellite maps |
title_full_unstemmed | WAMI: a web server for the analysis of minisatellite maps |
title_short | WAMI: a web server for the analysis of minisatellite maps |
title_sort | wami: a web server for the analysis of minisatellite maps |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2897807/ https://www.ncbi.nlm.nih.gov/pubmed/20525398 http://dx.doi.org/10.1186/1471-2148-10-167 |
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