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PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R

Although various computer tools have been elaborately developed to calculate a series of statistics in molecular population genetics for both small- and large-scale DNA data, there is no efficient and easy-to-use toolkit available yet for exclusively focusing on the steps of mathematical calculation...

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Detalles Bibliográficos
Autores principales: Chen, Shi-Yi, Deng, Feilong, Huang, Ying, Li, Cao, Liu, Linhai, Jia, Xianbo, Lai, Song-Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5085088/
https://www.ncbi.nlm.nih.gov/pubmed/27792763
http://dx.doi.org/10.1371/journal.pone.0165434
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author Chen, Shi-Yi
Deng, Feilong
Huang, Ying
Li, Cao
Liu, Linhai
Jia, Xianbo
Lai, Song-Jia
author_facet Chen, Shi-Yi
Deng, Feilong
Huang, Ying
Li, Cao
Liu, Linhai
Jia, Xianbo
Lai, Song-Jia
author_sort Chen, Shi-Yi
collection PubMed
description Although various computer tools have been elaborately developed to calculate a series of statistics in molecular population genetics for both small- and large-scale DNA data, there is no efficient and easy-to-use toolkit available yet for exclusively focusing on the steps of mathematical calculation. Here, we present PopSc, a bioinformatic toolkit for calculating 45 basic statistics in molecular population genetics, which could be categorized into three classes, including (i) genetic diversity of DNA sequences, (ii) statistical tests for neutral evolution, and (iii) measures of genetic differentiation among populations. In contrast to the existing computer tools, PopSc was designed to directly accept the intermediate metadata, such as allele frequencies, rather than the raw DNA sequences or genotyping results. PopSc is first implemented as the web-based calculator with user-friendly interface, which greatly facilitates the teaching of population genetics in class and also promotes the convenient and straightforward calculation of statistics in research. Additionally, we also provide the Python library and R package of PopSc, which can be flexibly integrated into other advanced bioinformatic packages of population genetics analysis.
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spelling pubmed-50850882016-11-04 PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R Chen, Shi-Yi Deng, Feilong Huang, Ying Li, Cao Liu, Linhai Jia, Xianbo Lai, Song-Jia PLoS One Research Article Although various computer tools have been elaborately developed to calculate a series of statistics in molecular population genetics for both small- and large-scale DNA data, there is no efficient and easy-to-use toolkit available yet for exclusively focusing on the steps of mathematical calculation. Here, we present PopSc, a bioinformatic toolkit for calculating 45 basic statistics in molecular population genetics, which could be categorized into three classes, including (i) genetic diversity of DNA sequences, (ii) statistical tests for neutral evolution, and (iii) measures of genetic differentiation among populations. In contrast to the existing computer tools, PopSc was designed to directly accept the intermediate metadata, such as allele frequencies, rather than the raw DNA sequences or genotyping results. PopSc is first implemented as the web-based calculator with user-friendly interface, which greatly facilitates the teaching of population genetics in class and also promotes the convenient and straightforward calculation of statistics in research. Additionally, we also provide the Python library and R package of PopSc, which can be flexibly integrated into other advanced bioinformatic packages of population genetics analysis. Public Library of Science 2016-10-28 /pmc/articles/PMC5085088/ /pubmed/27792763 http://dx.doi.org/10.1371/journal.pone.0165434 Text en © 2016 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Shi-Yi
Deng, Feilong
Huang, Ying
Li, Cao
Liu, Linhai
Jia, Xianbo
Lai, Song-Jia
PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R
title PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R
title_full PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R
title_fullStr PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R
title_full_unstemmed PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R
title_short PopSc: Computing Toolkit for Basic Statistics of Molecular Population Genetics Simultaneously Implemented in Web-Based Calculator, Python and R
title_sort popsc: computing toolkit for basic statistics of molecular population genetics simultaneously implemented in web-based calculator, python and r
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5085088/
https://www.ncbi.nlm.nih.gov/pubmed/27792763
http://dx.doi.org/10.1371/journal.pone.0165434
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