SNP_info
This tab-separated file contains a complete list of the SNPs analyzed in the study. For each SNP we provide the linkage group and specific linkage map position (where available), the accession reference ID (dbSNP), the original publication for the SNP discovery (source), and any miscellaneous notes.
Main Authors: | , , , , , , , , , |
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Format: | Dataset |
Language: | unknown |
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Dryad Digital Repository
2013
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Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.rd250.1/1.1 http://datadryad.org/resource/doi:10.5061/dryad.rd250.1/1.1 |
id |
ftdatacite:10.5061/dryad.rd250.1/1.1 |
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record_format |
openpolar |
spelling |
ftdatacite:10.5061/dryad.rd250.1/1.1 2023-05-15T16:27:20+02:00 SNP_info Therkildsen, Nina Overgaard Hemmer-Hansen, Jakob Hedeholm, Rasmus Berg Wisz, Mary S. Meldrup, Dorte Bonanomi, Sara Retzel, Anja Olsen, Steffen Malskær Nielsen, Einar Eg Pampoulie, Christophe 2013 https://dx.doi.org/10.5061/dryad.rd250.1/1.1 http://datadryad.org/resource/doi:10.5061/dryad.rd250.1/1.1 unknown Dryad Digital Repository https://dx.doi.org/10.5061/dryad.rd250.1 Genetic monitoring temporal variation population structure adaptive divergence Contemporary Evolution marine fish Climate Change Greenland Iceland Canada dataset Dataset DataFile 2013 ftdatacite https://doi.org/10.5061/dryad.rd250.1/1.1 https://doi.org/10.5061/dryad.rd250.1 2021-11-05T12:55:41Z This tab-separated file contains a complete list of the SNPs analyzed in the study. For each SNP we provide the linkage group and specific linkage map position (where available), the accession reference ID (dbSNP), the original publication for the SNP discovery (source), and any miscellaneous notes. Dataset Greenland Iceland DataCite Metadata Store (German National Library of Science and Technology) Canada Greenland |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Genetic monitoring temporal variation population structure adaptive divergence Contemporary Evolution marine fish Climate Change Greenland Iceland Canada |
spellingShingle |
Genetic monitoring temporal variation population structure adaptive divergence Contemporary Evolution marine fish Climate Change Greenland Iceland Canada Therkildsen, Nina Overgaard Hemmer-Hansen, Jakob Hedeholm, Rasmus Berg Wisz, Mary S. Meldrup, Dorte Bonanomi, Sara Retzel, Anja Olsen, Steffen Malskær Nielsen, Einar Eg Pampoulie, Christophe SNP_info |
topic_facet |
Genetic monitoring temporal variation population structure adaptive divergence Contemporary Evolution marine fish Climate Change Greenland Iceland Canada |
description |
This tab-separated file contains a complete list of the SNPs analyzed in the study. For each SNP we provide the linkage group and specific linkage map position (where available), the accession reference ID (dbSNP), the original publication for the SNP discovery (source), and any miscellaneous notes. |
format |
Dataset |
author |
Therkildsen, Nina Overgaard Hemmer-Hansen, Jakob Hedeholm, Rasmus Berg Wisz, Mary S. Meldrup, Dorte Bonanomi, Sara Retzel, Anja Olsen, Steffen Malskær Nielsen, Einar Eg Pampoulie, Christophe |
author_facet |
Therkildsen, Nina Overgaard Hemmer-Hansen, Jakob Hedeholm, Rasmus Berg Wisz, Mary S. Meldrup, Dorte Bonanomi, Sara Retzel, Anja Olsen, Steffen Malskær Nielsen, Einar Eg Pampoulie, Christophe |
author_sort |
Therkildsen, Nina Overgaard |
title |
SNP_info |
title_short |
SNP_info |
title_full |
SNP_info |
title_fullStr |
SNP_info |
title_full_unstemmed |
SNP_info |
title_sort |
snp_info |
publisher |
Dryad Digital Repository |
publishDate |
2013 |
url |
https://dx.doi.org/10.5061/dryad.rd250.1/1.1 http://datadryad.org/resource/doi:10.5061/dryad.rd250.1/1.1 |
geographic |
Canada Greenland |
geographic_facet |
Canada Greenland |
genre |
Greenland Iceland |
genre_facet |
Greenland Iceland |
op_relation |
https://dx.doi.org/10.5061/dryad.rd250.1 |
op_doi |
https://doi.org/10.5061/dryad.rd250.1/1.1 https://doi.org/10.5061/dryad.rd250.1 |
_version_ |
1766016471846092800 |