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Efficient ancestry and mutation simulation with msprime 1.0.
Baumdicker, Franz; Bisschop, Gertjan; Goldstein, Daniel; Gower, Graham; Ragsdale, Aaron P; Tsambos, Georgia; Zhu, Sha; Eldon, Bjarki; Ellerman, E Castedo; Galloway, Jared G; Gladstein, Ariella L; Gorjanc, Gregor; Guo, Bing; Jeffery, Ben; Kretzschumar, Warren W; Lohse, Konrad; Matschiner, Michael; Nelson, Dominic; Pope, Nathaniel S; Quinto-Cortés, Consuelo D; Rodrigues, Murillo F; Saunack, Kumar; Sellinger, Thibaut; Thornton, Kevin; van Kemenade, Hugo; Wohns, Anthony W; Wong, Yan; Gravel, Simon; Kern, Andrew D; Koskela, Jere; Ralph, Peter L; Kelleher, Jerome.
Afiliação
  • Baumdicker F; Cluster of Excellence "Controlling Microbes to Fight Infections", Mathematical and Computational Population Genetics, University of Tübingen, 72076 Tübingen, Germany.
  • Bisschop G; Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh EH9 3FL, UK.
  • Goldstein D; Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA.
  • Gower G; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Ragsdale AP; Lundbeck GeoGenetics Centre, Globe Institute, University of Copenhagen, 1350 Copenhagen K, Denmark.
  • Tsambos G; Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI 53706, USA.
  • Zhu S; Melbourne Integrative Genomics, School of Mathematics and Statistics, University of Melbourne, Parkville, VIC 3010, Australia.
  • Eldon B; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.
  • Ellerman EC; Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin 10115, Germany.
  • Galloway JG; Fresh Pond Research Institute, Cambridge, MA 02140, USA.
  • Gladstein AL; Department of Biology, Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403-5289, USA.
  • Gorjanc G; Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA.
  • Guo B; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7264, USA.
  • Jeffery B; Embark Veterinary, Inc., Boston, MA 02111, USA.
  • Kretzschumar WW; The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh EH25 9RG, UK.
  • Lohse K; Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
  • Matschiner M; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.
  • Nelson D; Center for Hematology and Regenerative Medicine, Karolinska Institute, 141 83 Huddinge, Sweden.
  • Pope NS; Institute of Evolutionary Biology, The University of Edinburgh, Edinburgh EH9 3FL, UK.
  • Quinto-Cortés CD; Natural History Museum, University of Oslo, 0318 Oslo, Norway.
  • Rodrigues MF; Department of Human Genetics, McGill University, Montréal, QC H3A 0C7, Canada.
  • Saunack K; Department of Entomology, Pennsylvania State University, State College, PA 16802, USA.
  • Sellinger T; National Laboratory of Genomics for Biodiversity (LANGEBIO), Unit of Advanced Genomics, CINVESTAV, Irapuato, Mexico.
  • Thornton K; Department of Biology, Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403-5289, USA.
  • van Kemenade H; IIT Bombay, Powai, Mumbai 400 076, India.
  • Wohns AW; Professorship for Population Genetics, Department of Life Science Systems, Technical University of Munich, 85354 Freising, Germany.
  • Wong Y; Department of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA.
  • Kern AD; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.
  • Koskela J; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
  • Ralph PL; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.
  • Kelleher J; Department of Human Genetics, McGill University, Montréal, QC H3A 0C7, Canada.
Genetics ; 220(3)2022 03 03.
Article em En | MEDLINE | ID: mdl-34897427
ABSTRACT
Stochastic simulation is a key tool in population genetics, since the models involved are often analytically intractable and simulation is usually the only way of obtaining ground-truth data to evaluate inferences. Because of this, a large number of specialized simulation programs have been developed, each filling a particular niche, but with largely overlapping functionality and a substantial duplication of effort. Here, we introduce msprime version 1.0, which efficiently implements ancestry and mutation simulations based on the succinct tree sequence data structure and the tskit library. We summarize msprime's many features, and show that its performance is excellent, often many times faster and more memory efficient than specialized alternatives. These high-performance features have been thoroughly tested and validated, and built using a collaborative, open source development model, which reduces duplication of effort and promotes software quality via community engagement.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Modelos Genéticos Idioma: En Revista: Genetics Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Modelos Genéticos Idioma: En Revista: Genetics Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha