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PDA: Pooled DNA analyzer

BACKGROUND: Association mapping using abundant single nucleotide polymorphisms is a powerful tool for identifying disease susceptibility genes for complex traits and exploring possible genetic diversity. Genotyping large numbers of SNPs individually is performed routinely but is cost prohibitive for...

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Detalles Bibliográficos
Autores principales: Yang, Hsin-Chou, Pan, Chia-Ching, Lin, Chin-Yu, Fann, Cathy SJ
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1539032/
https://www.ncbi.nlm.nih.gov/pubmed/16643673
http://dx.doi.org/10.1186/1471-2105-7-233
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author Yang, Hsin-Chou
Pan, Chia-Ching
Lin, Chin-Yu
Fann, Cathy SJ
author_facet Yang, Hsin-Chou
Pan, Chia-Ching
Lin, Chin-Yu
Fann, Cathy SJ
author_sort Yang, Hsin-Chou
collection PubMed
description BACKGROUND: Association mapping using abundant single nucleotide polymorphisms is a powerful tool for identifying disease susceptibility genes for complex traits and exploring possible genetic diversity. Genotyping large numbers of SNPs individually is performed routinely but is cost prohibitive for large-scale genetic studies. DNA pooling is a reliable and cost-saving alternative genotyping method. However, no software has been developed for complete pooled-DNA analyses, including data standardization, allele frequency estimation, and single/multipoint DNA pooling association tests. This motivated the development of the software, 'PDA' (Pooled DNA Analyzer), to analyze pooled DNA data. RESULTS: We develop the software, PDA, for the analysis of pooled-DNA data. PDA is originally implemented with the MATLAB(® )language, but it can also be executed on a Windows system without installing the MATLAB(®). PDA provides estimates of the coefficient of preferential amplification and allele frequency. PDA considers an extended single-point association test, which can compare allele frequencies between two DNA pools constructed under different experimental conditions. Moreover, PDA also provides novel chromosome-wide multipoint association tests based on p-value combinations and a sliding-window concept. This new multipoint testing procedure overcomes a computational bottleneck of conventional haplotype-oriented multipoint methods in DNA pooling analyses and can handle data sets having a large pool size and/or large numbers of polymorphic markers. All of the PDA functions are illustrated in the four bona fide examples. CONCLUSION: PDA is simple to operate and does not require that users have a strong statistical background. The software is available at .
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spelling pubmed-15390322006-09-01 PDA: Pooled DNA analyzer Yang, Hsin-Chou Pan, Chia-Ching Lin, Chin-Yu Fann, Cathy SJ BMC Bioinformatics Software BACKGROUND: Association mapping using abundant single nucleotide polymorphisms is a powerful tool for identifying disease susceptibility genes for complex traits and exploring possible genetic diversity. Genotyping large numbers of SNPs individually is performed routinely but is cost prohibitive for large-scale genetic studies. DNA pooling is a reliable and cost-saving alternative genotyping method. However, no software has been developed for complete pooled-DNA analyses, including data standardization, allele frequency estimation, and single/multipoint DNA pooling association tests. This motivated the development of the software, 'PDA' (Pooled DNA Analyzer), to analyze pooled DNA data. RESULTS: We develop the software, PDA, for the analysis of pooled-DNA data. PDA is originally implemented with the MATLAB(® )language, but it can also be executed on a Windows system without installing the MATLAB(®). PDA provides estimates of the coefficient of preferential amplification and allele frequency. PDA considers an extended single-point association test, which can compare allele frequencies between two DNA pools constructed under different experimental conditions. Moreover, PDA also provides novel chromosome-wide multipoint association tests based on p-value combinations and a sliding-window concept. This new multipoint testing procedure overcomes a computational bottleneck of conventional haplotype-oriented multipoint methods in DNA pooling analyses and can handle data sets having a large pool size and/or large numbers of polymorphic markers. All of the PDA functions are illustrated in the four bona fide examples. CONCLUSION: PDA is simple to operate and does not require that users have a strong statistical background. The software is available at . BioMed Central 2006-04-28 /pmc/articles/PMC1539032/ /pubmed/16643673 http://dx.doi.org/10.1186/1471-2105-7-233 Text en Copyright © 2006 Yang 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
Yang, Hsin-Chou
Pan, Chia-Ching
Lin, Chin-Yu
Fann, Cathy SJ
PDA: Pooled DNA analyzer
title PDA: Pooled DNA analyzer
title_full PDA: Pooled DNA analyzer
title_fullStr PDA: Pooled DNA analyzer
title_full_unstemmed PDA: Pooled DNA analyzer
title_short PDA: Pooled DNA analyzer
title_sort pda: pooled dna analyzer
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1539032/
https://www.ncbi.nlm.nih.gov/pubmed/16643673
http://dx.doi.org/10.1186/1471-2105-7-233
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