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Isolation by distance, web service

BACKGROUND: The population genetic pattern known as "isolation by distance" results from spatially limited gene flow and is a commonly observed phenomenon in natural populations. However, few software programs exist for estimating the degree of isolation by distance among populations, and...

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Detalles Bibliográficos
Autores principales: Jensen, Jeffrey L, Bohonak, Andrew J, Kelley, Scott T
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1079815/
https://www.ncbi.nlm.nih.gov/pubmed/15760479
http://dx.doi.org/10.1186/1471-2156-6-13
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author Jensen, Jeffrey L
Bohonak, Andrew J
Kelley, Scott T
author_facet Jensen, Jeffrey L
Bohonak, Andrew J
Kelley, Scott T
author_sort Jensen, Jeffrey L
collection PubMed
description BACKGROUND: The population genetic pattern known as "isolation by distance" results from spatially limited gene flow and is a commonly observed phenomenon in natural populations. However, few software programs exist for estimating the degree of isolation by distance among populations, and they tend not to be user-friendly. RESULTS: We have created Isolation by Distance Web Service (IBDWS) a user-friendly web interface for determining patterns of isolation by distance. Using this site, population geneticists can perform a variety of powerful statistical tests including Mantel tests, Reduced Major Axis (RMA) regression analysis, as well as calculate F(ST )between all pairs of populations and perform basic summary statistics (e.g., heterozygosity). All statistical results, including publication-quality scatter plots in Postscript format, are returned rapidly to the user and can be easily downloaded. CONCLUSION: IBDWS population genetics analysis software is hosted at and documentation is available at . The source code has been made available on Source Forge at .
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spelling pubmed-10798152005-04-15 Isolation by distance, web service Jensen, Jeffrey L Bohonak, Andrew J Kelley, Scott T BMC Genet Software BACKGROUND: The population genetic pattern known as "isolation by distance" results from spatially limited gene flow and is a commonly observed phenomenon in natural populations. However, few software programs exist for estimating the degree of isolation by distance among populations, and they tend not to be user-friendly. RESULTS: We have created Isolation by Distance Web Service (IBDWS) a user-friendly web interface for determining patterns of isolation by distance. Using this site, population geneticists can perform a variety of powerful statistical tests including Mantel tests, Reduced Major Axis (RMA) regression analysis, as well as calculate F(ST )between all pairs of populations and perform basic summary statistics (e.g., heterozygosity). All statistical results, including publication-quality scatter plots in Postscript format, are returned rapidly to the user and can be easily downloaded. CONCLUSION: IBDWS population genetics analysis software is hosted at and documentation is available at . The source code has been made available on Source Forge at . BioMed Central 2005-03-11 /pmc/articles/PMC1079815/ /pubmed/15760479 http://dx.doi.org/10.1186/1471-2156-6-13 Text en Copyright © 2005 Jensen 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
Jensen, Jeffrey L
Bohonak, Andrew J
Kelley, Scott T
Isolation by distance, web service
title Isolation by distance, web service
title_full Isolation by distance, web service
title_fullStr Isolation by distance, web service
title_full_unstemmed Isolation by distance, web service
title_short Isolation by distance, web service
title_sort isolation by distance, web service
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1079815/
https://www.ncbi.nlm.nih.gov/pubmed/15760479
http://dx.doi.org/10.1186/1471-2156-6-13
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