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Efficient ancestry and mutation simulation with msprime 1.0

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.31.457499Source: DataRank Database

Efficient ancestry and mutation simulation with msprime 1.0 is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 31 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access31 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (10 grants)OA: greenTopics (37)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (32)

Gertjan Bisschop ORCID,Daniel Goldstein ORCID,Graham Gower ORCID,Aaron P. Ragsdale ORCID,Georgia Tsambos ORCID

Live enrichment

PubMed:26207759 OpenAlex:https://openalex.org/W3198214709

Deutsche Forschungsgemeinschaft

Grant: 273887127

Modeling and inference of genomic signatures of polygenic selection driving fast adaptation

Deutsche Forschungsgemeinschaft

Grant: 255619725/SPP 1819

Rapid evolutionary adaptation: Potential and constraints

Deutsche Forschungsgemeinschaft

Grant: 390838134

Controlling Microbes to Fight Infections (CMFI)

UK Research and Innovation

Grant: EP/R044732/1

Exact scalable inference for coalescent processes

Deutsche Forschungsgemeinschaft

Grant: unidentified

unidentified

Deutsche Forschungsgemeinschaft

Grant: 390727645

Machine Learning: New Perspectives for Science

European Commission

Grant: 757648

Modelling the genomic landscapes of selection and speciation

National Institutes of Health

Grant: 5R01GM117241-05

POPULATION GENOMICS OF ADAPTATION

National Institutes of Health

Grant: 4R00HG008696-03

Inferring selection from human population genomic data

National Institutes of Health

Grant: 5R01HG010774-02

Deep learning for population genetics

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/12/10/2021.08.31.457499.full.pdf

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/12/10/2021.08.31.457499.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.08.31.457499

repositoryhttps://doi.org/10.1101/2021.08.31.457499

repositoryhttps://repozitorij.uni-lj.si/IzpisGradiva.php?id=136352

Fields of Study

Evolution and Genetic DynamicsGenomics and Phylogenetic StudiesEvolutionary Algorithms and Applications0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Computer scienceMutationKey (lock)Quality (philosophy)Tree (set theory)PopulationSoftwareSequence (biology)Data scienceData miningTheoretical computer scienceProgramming languageBiologyGeneticsComputer securityMathematicsInvestigationModels, Genetic610coalescentsimulationAncestral Recombination Graphsmutations004Genetics, PopulationGeneticModelsComputer SimulationQAAlgorithmsDevelopmental Biology

Sustainable Development Goals

SDG 0: Partnerships for the goals