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PopNetD3—A Network-Based Web Resource for Exploring Population Structure
We present PopNetD3, a web tool that provides an integrated approach for the network-based visualization of population structure based on the PopNet clustering framework. Users first submit a tab-delimited file that defines diversity of SNPs across the genome which is subsequently processed by the P...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668580/ https://www.ncbi.nlm.nih.gov/pubmed/31095319 http://dx.doi.org/10.1093/gbe/evz100 |
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author | Zhang, Javi Parkinson, John |
author_facet | Zhang, Javi Parkinson, John |
author_sort | Zhang, Javi |
collection | PubMed |
description | We present PopNetD3, a web tool that provides an integrated approach for the network-based visualization of population structure based on the PopNet clustering framework. Users first submit a tab-delimited file that defines diversity of SNPs across the genome which is subsequently processed by the PopNet backend to define patterns of conservation at the chromosome level. The resulting population structure is visualized through a dedicated D3-based tool, allowing users to interactively examine chromosomal regions predicted to share ancestry. We illustrate the capabilities of PopNetD3 through an analysis of 16 strains of Neisseria gonorrhoeae. PopNetD3 is capable of processing population data sets consisting of hundreds of individuals and is publicly available online at: http://compsysbio.org/popnetd3 Last Accessed: May 17, 2019. |
format | Online Article Text |
id | pubmed-6668580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-66685802019-08-05 PopNetD3—A Network-Based Web Resource for Exploring Population Structure Zhang, Javi Parkinson, John Genome Biol Evol Letter We present PopNetD3, a web tool that provides an integrated approach for the network-based visualization of population structure based on the PopNet clustering framework. Users first submit a tab-delimited file that defines diversity of SNPs across the genome which is subsequently processed by the PopNet backend to define patterns of conservation at the chromosome level. The resulting population structure is visualized through a dedicated D3-based tool, allowing users to interactively examine chromosomal regions predicted to share ancestry. We illustrate the capabilities of PopNetD3 through an analysis of 16 strains of Neisseria gonorrhoeae. PopNetD3 is capable of processing population data sets consisting of hundreds of individuals and is publicly available online at: http://compsysbio.org/popnetd3 Last Accessed: May 17, 2019. Oxford University Press 2019-05-16 /pmc/articles/PMC6668580/ /pubmed/31095319 http://dx.doi.org/10.1093/gbe/evz100 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Letter Zhang, Javi Parkinson, John PopNetD3—A Network-Based Web Resource for Exploring Population Structure |
title | PopNetD3—A Network-Based Web Resource for Exploring Population Structure |
title_full | PopNetD3—A Network-Based Web Resource for Exploring Population Structure |
title_fullStr | PopNetD3—A Network-Based Web Resource for Exploring Population Structure |
title_full_unstemmed | PopNetD3—A Network-Based Web Resource for Exploring Population Structure |
title_short | PopNetD3—A Network-Based Web Resource for Exploring Population Structure |
title_sort | popnetd3—a network-based web resource for exploring population structure |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668580/ https://www.ncbi.nlm.nih.gov/pubmed/31095319 http://dx.doi.org/10.1093/gbe/evz100 |
work_keys_str_mv | AT zhangjavi popnetd3anetworkbasedwebresourceforexploringpopulationstructure AT parkinsonjohn popnetd3anetworkbasedwebresourceforexploringpopulationstructure |