BayeScan results file with prior odds of 1000

This is the results (fst) file from running BayeScan with prior odds of 1000, with 94 non-admixed individuals and the 42K snp set. Each row represents a different SNP, with the order of the SNPs the same as in the nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tped file.

Bibliographic Details
Main Authors: Schweizer, Rena M., VonHoldt, Bridgett M., Harrigan, Ryan, Knowles, James C., Musiani, Marco, Coltman, David, Novembre, John, Wayne, Robert K.
Format: Dataset
Language:unknown
Published: Dryad Digital Repository 2015
Subjects:
Adaptation
Mammals
Ecological Genetics
Genomics/Proteomics
Population Genetics - Empirical
North America
Holocene
Canis lupus
Online Access:https://dx.doi.org/10.5061/dryad.c9b25/8
http://datadryad.org/resource/doi:10.5061/dryad.c9b25/8
id ftdatacite:10.5061/dryad.c9b25/8
record_format openpolar
spelling ftdatacite:10.5061/dryad.c9b25/8 2023-05-15T15:49:34+02:00 BayeScan results file with prior odds of 1000 Schweizer, Rena M. VonHoldt, Bridgett M. Harrigan, Ryan Knowles, James C. Musiani, Marco Coltman, David Novembre, John Wayne, Robert K. 2015 https://dx.doi.org/10.5061/dryad.c9b25/8 http://datadryad.org/resource/doi:10.5061/dryad.c9b25/8 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.c9b25 http://creativecommons.org/publicdomain/zero/1.0 CC0 Adaptation Mammals Ecological Genetics Genomics/Proteomics Population Genetics - Empirical North America Holocene Canis lupus dataset Dataset DataFile 2015 ftdatacite https://doi.org/10.5061/dryad.c9b25/8 https://doi.org/10.5061/dryad.c9b25 2021-11-05T12:55:41Z This is the results (fst) file from running BayeScan with prior odds of 1000, with 94 non-admixed individuals and the 42K snp set. Each row represents a different SNP, with the order of the SNPs the same as in the nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tped file. Dataset Canis lupus DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Adaptation
Mammals
Ecological Genetics
Genomics/Proteomics
Population Genetics - Empirical
North America
Holocene
Canis lupus
spellingShingle Adaptation
Mammals
Ecological Genetics
Genomics/Proteomics
Population Genetics - Empirical
North America
Holocene
Canis lupus
Schweizer, Rena M.
VonHoldt, Bridgett M.
Harrigan, Ryan
Knowles, James C.
Musiani, Marco
Coltman, David
Novembre, John
Wayne, Robert K.
BayeScan results file with prior odds of 1000
topic_facet Adaptation
Mammals
Ecological Genetics
Genomics/Proteomics
Population Genetics - Empirical
North America
Holocene
Canis lupus
description This is the results (fst) file from running BayeScan with prior odds of 1000, with 94 non-admixed individuals and the 42K snp set. Each row represents a different SNP, with the order of the SNPs the same as in the nonAdmix_nacanids_94indiv_unrel_noYNP_42Ksnps_wEcotypes.tped file.
format Dataset
author Schweizer, Rena M.
VonHoldt, Bridgett M.
Harrigan, Ryan
Knowles, James C.
Musiani, Marco
Coltman, David
Novembre, John
Wayne, Robert K.
author_facet Schweizer, Rena M.
VonHoldt, Bridgett M.
Harrigan, Ryan
Knowles, James C.
Musiani, Marco
Coltman, David
Novembre, John
Wayne, Robert K.
author_sort Schweizer, Rena M.
title BayeScan results file with prior odds of 1000
title_short BayeScan results file with prior odds of 1000
title_full BayeScan results file with prior odds of 1000
title_fullStr BayeScan results file with prior odds of 1000
title_full_unstemmed BayeScan results file with prior odds of 1000
title_sort bayescan results file with prior odds of 1000
publisher Dryad Digital Repository
publishDate 2015
url https://dx.doi.org/10.5061/dryad.c9b25/8
http://datadryad.org/resource/doi:10.5061/dryad.c9b25/8
genre Canis lupus
genre_facet Canis lupus
op_relation https://dx.doi.org/10.5061/dryad.c9b25
op_rights http://creativecommons.org/publicdomain/zero/1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5061/dryad.c9b25/8
https://doi.org/10.5061/dryad.c9b25
_version_ 1766384605631348736

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