Data from: NetView P: a network visualization tool to unravel complex population structure using genome-wide SNPs

Network-based approaches are emerging as valuable tools for the analysis of complex genetic structure in both wild and captive populations. NetView P combines data quality control with the construction of population networks based on mutual k-nearest-neighbours thresholds applied to genome-wide SNPs...

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Bibliographic Details
Main Authors: Steinig, Eike J., Neuditschko, Markus, Khatkar, Mehar S., Raadsma, Herman W., Zenger, Kyall R.
Format: Dataset
Language:English
Published: Dryad 2015
Subjects:
geo
Online Access:https://doi.org/10.5061/dryad.p3b3f
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record_format openpolar
spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::725a6f63d6dc7c40c9b30504b6cc1b2e 2023-05-15T15:50:47+02:00 Data from: NetView P: a network visualization tool to unravel complex population structure using genome-wide SNPs Steinig, Eike J. Neuditschko, Markus Khatkar, Mehar S. Raadsma, Herman W. Zenger, Kyall R. 2015-07-01 https://doi.org/10.5061/dryad.p3b3f en eng Dryad http://dx.doi.org/10.5061/dryad.p3b3f https://dx.doi.org/10.5061/dryad.p3b3f lic_creative-commons 10.5061/dryad.p3b3f oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:89989 oai:easy.dans.knaw.nl:easy-dataset:89989 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 re3data_____::r3d100000044 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 Captive Populations Pinctada maxima Genomics/Proteomics Bioinfomatics/Phyloinfomatics Merluccius merluccius Canis lupus Ecological Genetics Wildlife Management Population Genetics - Empirical Life sciences medicine and health care Indonesia North America Mediterranean Atlantic geo info Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2015 fttriple https://doi.org/10.5061/dryad.p3b3f 2023-01-22T16:53:39Z Network-based approaches are emerging as valuable tools for the analysis of complex genetic structure in both wild and captive populations. NetView P combines data quality control with the construction of population networks based on mutual k-nearest-neighbours thresholds applied to genome-wide SNPs. The program is cross-platform compatible, open-source and efficiently operates on data ranging from hundreds to hundreds of thousands of SNPs through multiprocessing in Python. We used the pipeline for the analysis of pedigree data from simulated (n = 750, SNPs = 1279) and captive Silver-lipped Pearl Oysters (n = 415, SNPs = 1107), wild populations of the European Hake from the Atlantic and Mediterranean (n = 834, SNPs = 380) and Gray Wolves from North America (n = 239, SNPs = 86,103). The population networks effectively visualize large- and fine-scale genetic structure within and between populations, including family-level structure and relationships. NetView P comprises a network-based addition to other population analysis tools and provides user-friendly access to a complex network analysis pipeline through implementation in Python. Oyster DataArchive containing data for P. maxima analysis with NetView P, including wild (n = 83, SNPs = 999), captive (n = 684, SNPs = 834) and simulated (n = 3000, SNPs = 1271) genotypes, as well as input files (PED/MAP), node attributes and networks for visualization in Cytoscape.oyster_data.zip Dataset Canis lupus Unknown Hake ENVELOPE(15.612,15.612,66.797,66.797)
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic Captive Populations
Pinctada maxima
Genomics/Proteomics
Bioinfomatics/Phyloinfomatics
Merluccius merluccius
Canis lupus
Ecological Genetics
Wildlife Management
Population Genetics - Empirical
Life sciences
medicine and health care
Indonesia
North America
Mediterranean
Atlantic
geo
info
spellingShingle Captive Populations
Pinctada maxima
Genomics/Proteomics
Bioinfomatics/Phyloinfomatics
Merluccius merluccius
Canis lupus
Ecological Genetics
Wildlife Management
Population Genetics - Empirical
Life sciences
medicine and health care
Indonesia
North America
Mediterranean
Atlantic
geo
info
Steinig, Eike J.
Neuditschko, Markus
Khatkar, Mehar S.
Raadsma, Herman W.
Zenger, Kyall R.
Data from: NetView P: a network visualization tool to unravel complex population structure using genome-wide SNPs
topic_facet Captive Populations
Pinctada maxima
Genomics/Proteomics
Bioinfomatics/Phyloinfomatics
Merluccius merluccius
Canis lupus
Ecological Genetics
Wildlife Management
Population Genetics - Empirical
Life sciences
medicine and health care
Indonesia
North America
Mediterranean
Atlantic
geo
info
description Network-based approaches are emerging as valuable tools for the analysis of complex genetic structure in both wild and captive populations. NetView P combines data quality control with the construction of population networks based on mutual k-nearest-neighbours thresholds applied to genome-wide SNPs. The program is cross-platform compatible, open-source and efficiently operates on data ranging from hundreds to hundreds of thousands of SNPs through multiprocessing in Python. We used the pipeline for the analysis of pedigree data from simulated (n = 750, SNPs = 1279) and captive Silver-lipped Pearl Oysters (n = 415, SNPs = 1107), wild populations of the European Hake from the Atlantic and Mediterranean (n = 834, SNPs = 380) and Gray Wolves from North America (n = 239, SNPs = 86,103). The population networks effectively visualize large- and fine-scale genetic structure within and between populations, including family-level structure and relationships. NetView P comprises a network-based addition to other population analysis tools and provides user-friendly access to a complex network analysis pipeline through implementation in Python. Oyster DataArchive containing data for P. maxima analysis with NetView P, including wild (n = 83, SNPs = 999), captive (n = 684, SNPs = 834) and simulated (n = 3000, SNPs = 1271) genotypes, as well as input files (PED/MAP), node attributes and networks for visualization in Cytoscape.oyster_data.zip
format Dataset
author Steinig, Eike J.
Neuditschko, Markus
Khatkar, Mehar S.
Raadsma, Herman W.
Zenger, Kyall R.
author_facet Steinig, Eike J.
Neuditschko, Markus
Khatkar, Mehar S.
Raadsma, Herman W.
Zenger, Kyall R.
author_sort Steinig, Eike J.
title Data from: NetView P: a network visualization tool to unravel complex population structure using genome-wide SNPs
title_short Data from: NetView P: a network visualization tool to unravel complex population structure using genome-wide SNPs
title_full Data from: NetView P: a network visualization tool to unravel complex population structure using genome-wide SNPs
title_fullStr Data from: NetView P: a network visualization tool to unravel complex population structure using genome-wide SNPs
title_full_unstemmed Data from: NetView P: a network visualization tool to unravel complex population structure using genome-wide SNPs
title_sort data from: netview p: a network visualization tool to unravel complex population structure using genome-wide snps
publisher Dryad
publishDate 2015
url https://doi.org/10.5061/dryad.p3b3f
long_lat ENVELOPE(15.612,15.612,66.797,66.797)
geographic Hake
geographic_facet Hake
genre Canis lupus
genre_facet Canis lupus
op_source 10.5061/dryad.p3b3f
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oai:easy.dans.knaw.nl:easy-dataset:89989
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10|re3data_____::94816e6421eeb072e7742ce6a9decc5f
10|eurocrisdris::fe4903425d9040f680d8610d9079ea14
re3data_____::r3d100000044
10|re3data_____::84e123776089ce3c7a33db98d9cd15a8
10|openaire____::081b82f96300b6a6e3d282bad31cb6e2
op_relation http://dx.doi.org/10.5061/dryad.p3b3f
https://dx.doi.org/10.5061/dryad.p3b3f
op_rights lic_creative-commons
op_doi https://doi.org/10.5061/dryad.p3b3f
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