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However, the general framework can be applied to other species.\n\nIt requires the input data to be in Variant Call Format (VCF) format and the simulations need to be in msprime format.","distributionFormats":[{"name":"Python","version":"unknown"},{"name":"Bash scripts","version":"unknown"},{"name":"R script","version":"unknown"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"funding":[{"funderName":"Natural Environment Research Council","funderIdentifier":"https://ror.org/02b5d8509","awardNumber":"NE/X009637/1","awardURI":"https://gtr.ukri.org/projects?ref=NE/X009637/1","orcid":false,"ror":true}],"id":"3ae572f6-4862-47ae-b4a0-4b9c496b5b54","incomingCitationCount":0,"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/3ae572f6-4862-47ae-b4a0-4b9c496b5b54.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"keywordsOther":[{"value":"generative adversarial network"},{"value":"population genetics"},{"value":"demographic inference"}],"licences":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/ogl/plain"}],"lineage":"The methodology can be applied to up to two populations at the same time. The code uses the keras python package and the scripts have been tested via simulations. Inferences were tested using simulations with known output, and the power to infer the ground truth was recovered. Simulations can be performed using msprime or SLiM.","metadataDate":"2026-06-27T15:19:35","notGEMINI":false,"onlineResources":[{"url":"https://data-package.ceh.ac.uk/data/3ae572f6-4862-47ae-b4a0-4b9c496b5b54","name":"Download the data","description":"Download a copy of this data","function":"download","type":"OTHER"},{"url":"https://data-package.ceh.ac.uk/sd/3ae572f6-4862-47ae-b4a0-4b9c496b5b54.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"pointsOfContact":[{"familyName":"Fumagalli","givenName":"M.","organisationName":"Queen Mary University of London","organisationIdentifier":"https://ror.org/026zzn846","role":"pointOfContact","email":"m.fumagalli@qmul.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-4084-2953","fullName":"Fumagalli, M.","pointOfContact":"Queen Mary University of London"}],"publicationDate":"2023-12-08T00:00:00.000Z","publishers":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"publisher","email":"info@eidc.ac.uk"}],"resourceIdentifiers":[{"code":"https://catalogue.ceh.ac.uk/id/3ae572f6-4862-47ae-b4a0-4b9c496b5b54"},{"code":"10.5285/3ae572f6-4862-47ae-b4a0-4b9c496b5b54","codeSpace":"doi"}],"resourceType":{"value":"software"},"responsibleParties":[{"familyName":"Pui","givenName":"C.S.","organisationName":"Queen Mary University of London","organisationIdentifier":"https://ror.org/026zzn846","role":"author","email":"pui.siu@qmul.ac.uk","nameIdentifier":"https://orcid.org/0009-0008-4956-1358","fullName":"Pui, C.S."},{"familyName":"Fumagalli","givenName":"M.","organisationName":"Queen Mary University of London","organisationIdentifier":"https://ror.org/026zzn846","role":"author","email":"m.fumagalli@qmul.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-4084-2953","fullName":"Fumagalli, M."},{"familyName":"Mathieson","givenName":"S.","organisationName":"Haverford College","organisationIdentifier":"https://ror.org/04fnrxr62","role":"author","email":"smathieson@haverford.edu","nameIdentifier":"https://orcid.org/0000-0002-0484-0838","fullName":"Mathieson, S."},{"familyName":"Fumagalli","givenName":"M.","organisationName":"Queen Mary University of London","organisationIdentifier":"https://ror.org/026zzn846","role":"pointOfContact","email":"m.fumagalli@qmul.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-4084-2953","fullName":"Fumagalli, M.","pointOfContact":"Queen Mary University of London"},{"organisationName":"Queen Mary University of London","organisationIdentifier":"https://ror.org/026zzn846","role":"rightsHolder","email":"m.fumagalli@qmul.ac.uk"},{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"publisher","email":"info@eidc.ac.uk"},{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"custodian","email":"info@eidc.ac.uk"}],"rightsHolders":[{"organisationName":"Queen Mary University of London","organisationIdentifier":"https://ror.org/026zzn846","role":"rightsHolder","email":"m.fumagalli@qmul.ac.uk"}],"title":"Python code for building and training a generative adversarial network for demographic inferences from genomic data","topicCategories":[{"value":"environment","uri":"http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment"}],"type":"software","uri":"https://catalogue.ceh.ac.uk/id/3ae572f6-4862-47ae-b4a0-4b9c496b5b54","useConstraints":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/ogl/plain"}]}