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Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations.

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第一作者: M Elise,Lauterbur
第一单位: Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, United States.
作者单位: Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, United States. [1] Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States. [2] Embark Veterinary, Inc, Boston, United States. [3] Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Copenhagen, Denmark. [4] Institute of Ecology and Evolution, University of Oregon, Eugene, United States. [5] School of Mathematics and Statistics, University of Melbourne, Melbourne, Australia. [6] Institute of Ecology and Evolution, University of Oregon, Eugene, United States.;Ancestry DNA, San Francisco, United States. [7] 54Gene, Inc, Washington, United States. [8] Universite Paris-Saclay, CNRS, INRIA, Laboratoire Interdisciplinaire des Sciences du Numerique, Orsay, France. [9] School of Life Sciences, University of Glasgow, Glasgow, United Kingdom. [10] Department of Computational Biology, Cornell University, Ithaca, United States. [11] Department of Cell and Systems Biology, University of Toronto, Toronto, Canada.;Department of Biology, University of Toronto Mississauga, Mississauga, Canada. [12] Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.;Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Vienna, Austria. [13] Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. [14] Computer Technologies Laboratory, ITMO University, St Petersburg, Russian Federation. [15] Agricultural Institute of Slovenia, Department of Animal Science, Ljubljana, Slovenia. [16] Entomology Department, The Ohio State University, Wooster, United States. [17] Department of Genetics, University of Cambridge, Cambridge, United Kingdom.;Department of Zoology, University of Cambridge, Cambridge, United Kingdom. [18] Department of Ecology, Evolution, and Organismal Biology, Brown University, Providence, United States.;Center for Computational Molecular Biology, Brown University, Providence, United States. [19] Department of Genetics and Evolution, Federal University of Sao Carlos, Sao Carlos, Brazil. [20] Department of Genetics, Stanford University School of Medicine, Stanford, United States. [21] Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. [22] Department of Integrative Biology, University of California, Berkeley, Berkeley, United States. [23] Department of Biostatistics, University of Washington, Seattle, United States. [24] Broad Institute of MIT and Harvard, Cambridge, United States. [25] Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom. [26] Cluster of Excellence - Controlling Microbes to Fight Infections, Eberhard Karls Universit¨at Tubingen, Tubingen, Germany. [27] School of Life Sciences and The Biodesign Institute, Arizona State University, Tempe, United States. [28] The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom. [29] Department of Molecular and Cellular Biology, University of Arizona, Tucson, United States. [30] Department of Integrative Biology, University of Wisconsin-Madison, Madison, United States. [31] Institute of Ecology and Evolution, University of Oregon, Eugene, United States.;Department of Mathematics, University of Oregon, Eugene, United States. [32] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, United States. [33] Efi Arazi School of Computer Science, Reichman University, Herzliya, Israel. [34]
DOI 10.7554/eLife.84874
PMID 37342968
发布时间 2023-07-10
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