Processing and population genetic analysis of multigenic datasets with ProSeq3 software

Motivation: The current tendency in molecular population genetics is to use increasing numbers of genes in the analysis. Here I describe a program for handling and population genetic analysis of DNA polymorphism data collected from multiple genes. The program includes a sequence/alignment editor and...

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Detalles Bibliográficos
Autor principal: Filatov, Dmitry A.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2778335/
https://www.ncbi.nlm.nih.gov/pubmed/19797407
http://dx.doi.org/10.1093/bioinformatics/btp572
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author Filatov, Dmitry A.
author_facet Filatov, Dmitry A.
author_sort Filatov, Dmitry A.
collection PubMed
description Motivation: The current tendency in molecular population genetics is to use increasing numbers of genes in the analysis. Here I describe a program for handling and population genetic analysis of DNA polymorphism data collected from multiple genes. The program includes a sequence/alignment editor and an internal relational database that simplify the preparation and manipulation of multigenic DNA polymorphism datasets. The most commonly used DNA polymorphism analyses are implemented in ProSeq3, facilitating population genetic analysis of large multigenic datasets. Extensive input/output options make ProSeq3 a convenient hub for sequence data processing and analysis. Availability: The program is available free of charge from http://dps.plants.ox.ac.uk/sequencing/proseq.htm Contact: dmitry.filatov@plants.ox.ac.uk
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spelling pubmed-27783352009-11-18 Processing and population genetic analysis of multigenic datasets with ProSeq3 software Filatov, Dmitry A. Bioinformatics Applications Note Motivation: The current tendency in molecular population genetics is to use increasing numbers of genes in the analysis. Here I describe a program for handling and population genetic analysis of DNA polymorphism data collected from multiple genes. The program includes a sequence/alignment editor and an internal relational database that simplify the preparation and manipulation of multigenic DNA polymorphism datasets. The most commonly used DNA polymorphism analyses are implemented in ProSeq3, facilitating population genetic analysis of large multigenic datasets. Extensive input/output options make ProSeq3 a convenient hub for sequence data processing and analysis. Availability: The program is available free of charge from http://dps.plants.ox.ac.uk/sequencing/proseq.htm Contact: dmitry.filatov@plants.ox.ac.uk Oxford University Press 2009-12-01 2009-10-01 /pmc/articles/PMC2778335/ /pubmed/19797407 http://dx.doi.org/10.1093/bioinformatics/btp572 Text en © The Author(s) 2009. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Filatov, Dmitry A.
Processing and population genetic analysis of multigenic datasets with ProSeq3 software
title Processing and population genetic analysis of multigenic datasets with ProSeq3 software
title_full Processing and population genetic analysis of multigenic datasets with ProSeq3 software
title_fullStr Processing and population genetic analysis of multigenic datasets with ProSeq3 software
title_full_unstemmed Processing and population genetic analysis of multigenic datasets with ProSeq3 software
title_short Processing and population genetic analysis of multigenic datasets with ProSeq3 software
title_sort processing and population genetic analysis of multigenic datasets with proseq3 software
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2778335/
https://www.ncbi.nlm.nih.gov/pubmed/19797407
http://dx.doi.org/10.1093/bioinformatics/btp572
work_keys_str_mv AT filatovdmitrya processingandpopulationgeneticanalysisofmultigenicdatasetswithproseq3software

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