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Dataset . 2022
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Whole-genome genotype data for French Large White pigs from two distinct sampling times

Authors: Simon Boitard; Laurence Liaubet; Cyriel Paris; Katia Fève; Patrice Dehais; Alban Bouquet; Juliette Riquet; +1 Authors

Whole-genome genotype data for French Large White pigs from two distinct sampling times

Abstract

Genotype data at plink binary format for 36 pigs from the french Large White breed: 13 animals from the female line born in 2014 and 2015, 13 animals from the male line born between 2012 and 2016, and 10 animals from a common ancestral line, born in 1977. These genotypes were obtained from individual whole genome sequencing (WGS) data, whiwh are available at https://www.ebi.ac.uk/ena under the accession number PRJEB51909. Two different genotype datasets were obtained from the raw WGS: 1) snp20_auto_cr (.bed/bim/fam): High quality autosomal SNPs, called by 3 different software, with a call rate of at least 90% 2) all10_auto (.bed/bim/fam): All SNPs or indels called by at least one of 3 different software. More details about these datasets and their use can be found in the following study: Boitard et al (under revision): Whole-genome sequencing of cryo-preserved resources from French Large White pigs at two distinct sampling times reveals strong signatures of convergent and divergent selection between the dam and sire lines.

{"references": ["Boitard et al (under revision): Whole-genome sequencing of cryo-preserved resources from French Large White pigs at two distinct sampling times reveals strong signatures of convergent and divergent selection between the dam and sire lines."]}

Related Organizations
Keywords

Selection signatures, Genomic time series, Large White pigs

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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