Simupop_code.tar.gz
This archive contains Python code for simulating populations using the package simuPOP, plus additional data files, used in Pritchard et al. (2016): *.py: code for simulating test or reference individuals. Estimated_allele_frequencies.csv: estimated frequencies of the 200 discriminatory alleles, fro...
Main Authors: | , , , , , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
Dryad Digital Repository
2016
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.dg8f3/3 http://datadryad.org/resource/doi:10.5061/dryad.dg8f3/3 |
id |
ftdatacite:10.5061/dryad.dg8f3/3 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5061/dryad.dg8f3/3 2023-05-15T15:31:01+02:00 Simupop_code.tar.gz Pritchard, Victoria L. Erkinaro, Jaakko Kent, Matthew P. Niemelä, Eero Orell, Panu Lien, Sigbjørn Primmer, Craig R. 2016 https://dx.doi.org/10.5061/dryad.dg8f3/3 http://datadryad.org/resource/doi:10.5061/dryad.dg8f3/3 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.dg8f3 http://creativecommons.org/publicdomain/zero/1.0 CC0 Atlantic salmon aquaculture escapee introgressive hybridization SNP array allelotyping North Atlantic Holocene Salmo salar dataset Dataset DataFile 2016 ftdatacite https://doi.org/10.5061/dryad.dg8f3/3 https://doi.org/10.5061/dryad.dg8f3 2021-11-05T12:55:41Z This archive contains Python code for simulating populations using the package simuPOP, plus additional data files, used in Pritchard et al. (2016): *.py: code for simulating test or reference individuals. Estimated_allele_frequencies.csv: estimated frequencies of the 200 discriminatory alleles, from Table S3. Allele_frequencies_for_simulations.csv: adjusted allele frequencies used for simulations, from Table S3. See README file in archive for further information. Dataset Atlantic salmon North Atlantic Salmo salar 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 |
Atlantic salmon aquaculture escapee introgressive hybridization SNP array allelotyping North Atlantic Holocene Salmo salar |
spellingShingle |
Atlantic salmon aquaculture escapee introgressive hybridization SNP array allelotyping North Atlantic Holocene Salmo salar Pritchard, Victoria L. Erkinaro, Jaakko Kent, Matthew P. Niemelä, Eero Orell, Panu Lien, Sigbjørn Primmer, Craig R. Simupop_code.tar.gz |
topic_facet |
Atlantic salmon aquaculture escapee introgressive hybridization SNP array allelotyping North Atlantic Holocene Salmo salar |
description |
This archive contains Python code for simulating populations using the package simuPOP, plus additional data files, used in Pritchard et al. (2016): *.py: code for simulating test or reference individuals. Estimated_allele_frequencies.csv: estimated frequencies of the 200 discriminatory alleles, from Table S3. Allele_frequencies_for_simulations.csv: adjusted allele frequencies used for simulations, from Table S3. See README file in archive for further information. |
format |
Dataset |
author |
Pritchard, Victoria L. Erkinaro, Jaakko Kent, Matthew P. Niemelä, Eero Orell, Panu Lien, Sigbjørn Primmer, Craig R. |
author_facet |
Pritchard, Victoria L. Erkinaro, Jaakko Kent, Matthew P. Niemelä, Eero Orell, Panu Lien, Sigbjørn Primmer, Craig R. |
author_sort |
Pritchard, Victoria L. |
title |
Simupop_code.tar.gz |
title_short |
Simupop_code.tar.gz |
title_full |
Simupop_code.tar.gz |
title_fullStr |
Simupop_code.tar.gz |
title_full_unstemmed |
Simupop_code.tar.gz |
title_sort |
simupop_code.tar.gz |
publisher |
Dryad Digital Repository |
publishDate |
2016 |
url |
https://dx.doi.org/10.5061/dryad.dg8f3/3 http://datadryad.org/resource/doi:10.5061/dryad.dg8f3/3 |
genre |
Atlantic salmon North Atlantic Salmo salar |
genre_facet |
Atlantic salmon North Atlantic Salmo salar |
op_relation |
https://dx.doi.org/10.5061/dryad.dg8f3 |
op_rights |
http://creativecommons.org/publicdomain/zero/1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.dg8f3/3 https://doi.org/10.5061/dryad.dg8f3 |
_version_ |
1766361513434546176 |