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Poly: a quantitative analysis tool for simple sequence repeat (SSR) tracts in DNA

BACKGROUND: Simple sequence repeats (SSRs), microsatellites or polymeric sequences are common in DNA and are important biologically. From mononucleotide to trinucleotide repeats and beyond, they can be found in long (> 6 repeating units) tracts and may be characterized by quantifying the frequenc...

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Detalles Bibliográficos
Autores principales: Bizzaro, Jeff W, Marx, Kenneth A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC165442/
https://www.ncbi.nlm.nih.gov/pubmed/12791171
http://dx.doi.org/10.1186/1471-2105-4-22
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author Bizzaro, Jeff W
Marx, Kenneth A
author_facet Bizzaro, Jeff W
Marx, Kenneth A
author_sort Bizzaro, Jeff W
collection PubMed
description BACKGROUND: Simple sequence repeats (SSRs), microsatellites or polymeric sequences are common in DNA and are important biologically. From mononucleotide to trinucleotide repeats and beyond, they can be found in long (> 6 repeating units) tracts and may be characterized by quantifying the frequencies in which they are found and their tract lengths. However, most of the existing computer programs that find SSR tracts do not include these methods. RESULTS: A computer program named Poly has been written not only to find SSR tracts but to analyze the results quantitatively. CONCLUSIONS: Poly is significant in its use of non-standard, quantitative methods of analysis. And, with its flexible object model and data structure, Poly and its generated data can be used for even more sophisticated analyses.
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spelling pubmed-1654422003-07-16 Poly: a quantitative analysis tool for simple sequence repeat (SSR) tracts in DNA Bizzaro, Jeff W Marx, Kenneth A BMC Bioinformatics Methodology Article BACKGROUND: Simple sequence repeats (SSRs), microsatellites or polymeric sequences are common in DNA and are important biologically. From mononucleotide to trinucleotide repeats and beyond, they can be found in long (> 6 repeating units) tracts and may be characterized by quantifying the frequencies in which they are found and their tract lengths. However, most of the existing computer programs that find SSR tracts do not include these methods. RESULTS: A computer program named Poly has been written not only to find SSR tracts but to analyze the results quantitatively. CONCLUSIONS: Poly is significant in its use of non-standard, quantitative methods of analysis. And, with its flexible object model and data structure, Poly and its generated data can be used for even more sophisticated analyses. BioMed Central 2003-06-05 /pmc/articles/PMC165442/ /pubmed/12791171 http://dx.doi.org/10.1186/1471-2105-4-22 Text en Copyright © 2003 Bizzaro and Marx; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Methodology Article
Bizzaro, Jeff W
Marx, Kenneth A
Poly: a quantitative analysis tool for simple sequence repeat (SSR) tracts in DNA
title Poly: a quantitative analysis tool for simple sequence repeat (SSR) tracts in DNA
title_full Poly: a quantitative analysis tool for simple sequence repeat (SSR) tracts in DNA
title_fullStr Poly: a quantitative analysis tool for simple sequence repeat (SSR) tracts in DNA
title_full_unstemmed Poly: a quantitative analysis tool for simple sequence repeat (SSR) tracts in DNA
title_short Poly: a quantitative analysis tool for simple sequence repeat (SSR) tracts in DNA
title_sort poly: a quantitative analysis tool for simple sequence repeat (ssr) tracts in dna
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC165442/
https://www.ncbi.nlm.nih.gov/pubmed/12791171
http://dx.doi.org/10.1186/1471-2105-4-22
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