Reconstructing queen genotypes by pool sequencing colonies in eusocial insects: statistical methods and their application to honeybee

DOI

This repository contains the necessary files to perform the analysis presented in the paper: SE Eynard, A Vignal, B Basso, Y Le Conte, A Decourtye, L Genestout, E Labarthe, F Mondet, K Tabet, B Servin (2022). Reconstructing queen genotypes by pool sequencing colonies in eusocial insects: Statistical methods and their application to honeybee. https://doi.org/10.1111/1755-0998.13685 It includes the parameter files needed for the simulations, the file containing allele frequencies for the reference populations as well as the pool-sequence data needed for the validation of the model on real data.

Identifier
DOI https://doi.org/10.57745/MH1WFP
Related Identifier https://doi.org/10.1111/1755-0998.13685
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/MH1WFP
Provenance
Creator Basso, Benjamin ORCID logo; Guirao, Anne-Laure; Sudan, Alexandre; Tabet, Kamila ORCID logo; Labarthe, Emmanuelle; Bouchez, Olivier ORCID logo; Bulach, Tabatha; Eynard, Sonia ORCID logo; Servin, Bertrand ORCID logo; Vignal, Alain ORCID logo
Publisher Recherche Data Gouv
Contributor Vignal, Alain; GenPhySE, Université de Toulouse, INRAE, INP, ENVT
Publication Year 2022
Funding Reference Ministère de l’Agriculture de l’Agroalimentaire et de la Forêt MOSAR RT 2015-776
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Vignal, Alain (GenPhySE, Université de Toulouse, INRAE, INP, ENVT)
Representation
Resource Type Dataset
Format application/x-bzip; text/plain
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Version 1.1
Discipline Agriculture, Forestry, Horticulture; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences