{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T07:29:42Z","timestamp":1776756582864,"version":"3.51.2"},"reference-count":58,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T00:00:00Z","timestamp":1601942400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01GM117241"],"award-info":[{"award-number":["R01GM117241"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K99HG008696"],"award-info":[{"award-number":["K99HG008696"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,3,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Identification of partial sweeps, which include both hard and soft sweeps that have not currently reached fixation, provides crucial information about ongoing evolutionary responses. To this end, we introduce partialS\/HIC, a deep learning method to discover selective sweeps from population genomic data. partialS\/HIC uses a convolutional neural network for image processing, which is trained with a large suite of summary statistics derived from coalescent simulations incorporating population-specific history, to distinguish between completed versus partial sweeps, hard versus soft sweeps, and regions directly affected by selection versus those merely linked to nearby selective sweeps. We perform several simulation experiments under various demographic scenarios to demonstrate partialS\/HIC\u2019s performance, which exhibits excellent resolution for detecting partial sweeps. We also apply our classifier to whole genomes from eight mosquito populations sampled across sub-Saharan Africa by the Anopheles gambiae 1000 Genomes Consortium, elucidating both continent-wide patterns as well as sweeps unique to specific geographic regions. These populations have experienced intense insecticide exposure over the past two decades, and we observe a strong overrepresentation of sweeps at insecticide resistance loci. Our analysis thus provides a list of candidate adaptive loci that may be relevant to mosquito control efforts. More broadly, our supervised machine learning approach introduces a method to distinguish between completed and partial sweeps, as well as between hard and soft sweeps, under a variety of demographic scenarios. As whole-genome data rapidly accumulate for a greater diversity of organisms, partialS\/HIC addresses an increasing demand for useful selection scan tools that can track in-progress evolutionary dynamics.<\/jats:p>","DOI":"10.1093\/molbev\/msaa259","type":"journal-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T23:18:40Z","timestamp":1601507920000},"page":"1168-1183","source":"Crossref","is-referenced-by-count":50,"title":["Discovery of Ongoing Selective Sweeps within\n                    <i>Anopheles<\/i>\n                    Mosquito Populations Using Deep Learning"],"prefix":"10.1093","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1521-6448","authenticated-orcid":false,"given":"Alexander T","family":"Xue","sequence":"first","affiliation":[{"name":"Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY"}]},{"given":"Daniel R","family":"Schrider","sequence":"additional","affiliation":[{"name":"Department of Genetics, University of North Carolina, Chapel Hill, NC"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4381-4680","authenticated-orcid":false,"given":"Andrew D","family":"Kern","sequence":"additional","affiliation":[{"name":"Institute of Ecology and Evolution, 5289 University of Oregon, Eugene, OR"}]},{"name":"Ag1000g Consortium","sequence":"additional","affiliation":[]},{"given":"Alessandra","family":"della Torre","sequence":"additional","affiliation":[]},{"given":"Andrew","family":"Kern","sequence":"additional","affiliation":[]},{"given":"Beniamino","family":"Caputo","sequence":"additional","affiliation":[]},{"given":"Bilali","family":"Kabula","sequence":"additional","affiliation":[]},{"given":"Bradley","family":"White","sequence":"additional","affiliation":[]},{"given":"Charles","family":"Godfray","sequence":"additional","affiliation":[]},{"given":"Constant","family":"Edi","sequence":"additional","affiliation":[]},{"given":"Craig","family":"Wilding","sequence":"additional","affiliation":[]},{"given":"Dan","family":"Neafsey","sequence":"additional","affiliation":[]},{"given":"Daniel","family":"Schrider","sequence":"additional","affiliation":[]},{"given":"David","family":"Conway","sequence":"additional","affiliation":[]},{"given":"David","family":"Weetman","sequence":"additional","affiliation":[]},{"given":"Diego","family":"Ayala","sequence":"additional","affiliation":[]},{"given":"Dominic","family":"Kwiatkowski","sequence":"additional","affiliation":[]},{"given":"Igor","family":"Sharakhov","sequence":"additional","affiliation":[]},{"given":"Janet","family":"Midega","sequence":"additional","affiliation":[]},{"given":"Jiannong (John)","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o","family":"Pinto","sequence":"additional","affiliation":[]},{"given":"John","family":"Essandoh","sequence":"additional","affiliation":[]},{"given":"Johnson","family":"Matowo","sequence":"additional","affiliation":[]},{"given":"Ken","family":"Vernick","sequence":"additional","affiliation":[]},{"given":"Luc S","family":"Djogbenou","sequence":"additional","affiliation":[]},{"given":"Mamadou","family":"Coulibaly","sequence":"additional","affiliation":[]},{"given":"Mara","family":"Lawniczak","sequence":"additional","affiliation":[]},{"given":"Martin","family":"Donnelly","sequence":"additional","affiliation":[]},{"given":"Matthew","family":"Hahn","sequence":"additional","affiliation":[]},{"given":"Micha\u00ebl","family":"Fontaine","sequence":"additional","affiliation":[]},{"given":"Michelle","family":"Riehle","sequence":"additional","affiliation":[]},{"given":"Nora","family":"Besansky","sequence":"additional","affiliation":[]},{"given":"Omar","family":"Cornejo","sequence":"additional","affiliation":[]},{"given":"Robert","family":"McCann","sequence":"additional","affiliation":[]},{"given":"Sam","family":"O\u2019Loughlin","sequence":"additional","affiliation":[]},{"given":"Vincent","family":"Robert","sequence":"additional","affiliation":[]},{"given":"Alexander","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Alistair","family":"Miles","sequence":"additional","affiliation":[]},{"given":"Chris","family":"Clarkson","sequence":"additional","affiliation":[]},{"given":"CJ","family":"Battey","sequence":"additional","affiliation":[]},{"given":"Cody","family":"Champion","sequence":"additional","affiliation":[]},{"given":"Frederic","family":"Labbe","sequence":"additional","affiliation":[]},{"given":"Giordano","family":"Bott\u00e0","sequence":"additional","affiliation":[]},{"given":"Jeffrey","family":"Adrion","sequence":"additional","affiliation":[]},{"given":"Joel","family":"Nelson","sequence":"additional","affiliation":[]},{"given":"Nick","family":"Harding","sequence":"additional","affiliation":[]},{"given":"Richard","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Scott T","family":"Small","sequence":"additional","affiliation":[]},{"given":"Seth","family":"Redmond","sequence":"additional","affiliation":[]},{"given":"Tiago","family":"Ant\u00e3o","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2020,10,6]]},"reference":[{"issue":"8","key":"2021031108124868300_msaa259-B1","doi-asserted-by":"crossref","first-page":"2597","DOI":"10.1093\/gbe\/evw181","article-title":"Predictive models of recombination rate variation across the Drosophila melanogaster genome","volume":"8","author":"Adrian","year":"2016","journal-title":"Genome Biol Evol"},{"issue":"6","key":"2021031108124868300_msaa259-B2","doi-asserted-by":"crossref","first-page":"1790","DOI":"10.1093\/molbev\/msaa038","article-title":"Predicting the landscape of recombination using deep learning","volume":"37","author":"Adrion","year":"2020","journal-title":"Mol Biol Evol"},{"issue":"4","key":"2021031108124868300_msaa259-B3","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1038\/nmeth.4606","article-title":"Identifying the favored mutation in a positive selective sweep","volume":"15","author":"Akbari","year":"2018","journal-title":"Nat Methods"},{"key":"2021031108124868300_msaa259-B4","article-title":"Predicting geographic location from genetic variation with deep neural networks. ELife","author":"Battey","year":"2020"},{"issue":"1","key":"2021031108124868300_msaa259-B5","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1186\/s12915-017-0434-y","article-title":"Detecting positive selection in the genome","volume":"15","author":"Booker","year":"2017","journal-title":"BMC Biol"},{"issue":"2","key":"2021031108124868300_msaa259-B6","first-page":"123","article-title":"Insecticide resistance in mosquitoes: a pragmatic review","volume":"2","author":"Brown","year":"1986","journal-title":"J Am Mosq Control Assoc"},{"key":"2021031108124868300_msaa259-B7","article-title":"A likelihood-free inference framework for population genetic data using exchangeable neural networks","author":"Chan","year":"2018","journal-title":"bioRxiv"},{"key":"2021031108124868300_msaa259-B8","author":"Chollet","year":"2015"},{"issue":"3","key":"2021031108124868300_msaa259-B9","doi-asserted-by":"crossref","first-page":"908","DOI":"10.1111\/j.1558-5646.2012.01800.x","article-title":"Antagonistic versus nonantagonistic models of balancing selection: characterizing the relative timescales and hitchhiking effects of partial selective sweeps","volume":"67","author":"Connallon","year":"2013","journal-title":"Evolution"},{"issue":"1","key":"2021031108124868300_msaa259-B10","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1534\/genetics.112.141861","article-title":"Patterns of neutral diversity under general models of selective sweeps","volume":"192","author":"Coop","year":"2012","journal-title":"Genetics"},{"key":"2021031108124868300_msaa259-B11","first-page":"291","article-title":"Resistance of Anopheles gambiae s.s. to pyrethroids in C\u00f4te d\u2019Ivoire","volume":"73","author":"Elissa","year":"1993","journal-title":"Ann Soc Belg Med Trop"},{"key":"2021031108124868300_msaa259-B12","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1093\/genetics\/155.3.1405","article-title":"Hitchhiking under positive Darwinian selection","volume":"155","author":"Fay","year":"2000","journal-title":"Genetics"},{"key":"2021031108124868300_msaa259-B13","doi-asserted-by":"crossref","DOI":"10.1093\/molbev\/msy224","article-title":"The unreasonable effectiveness of convolutional neural networks in population genetic inference","author":"Flagel","year":"2019"},{"key":"2021031108124868300_msaa259-B14","first-page":"1563","article-title":"New software for the fast estimation of population recombination rates (FastEPRR) in the genomic era. G3","author":"Gao","year":"2016"},{"issue":"2","key":"2021031108124868300_msaa259-B15","doi-asserted-by":"crossref","first-page":"e1005004","DOI":"10.1371\/journal.pgen.1005004","article-title":"Recent selective sweeps in North American Drosophila melanogaster show signatures of soft sweeps","volume":"11","author":"Garud","year":"2015","journal-title":"PLoS Genet"},{"issue":"5967","key":"2021031108124868300_msaa259-B16","doi-asserted-by":"crossref","first-page":"883","DOI":"10.1126\/science.1183863","article-title":"A composite of multiple signals distinguishes causal variants in regions of positive selection","volume":"327","author":"Grossman","year":"2010","journal-title":"Science"},{"issue":"1","key":"2021031108124868300_msaa259-B17","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1038\/nbt.3439","article-title":"A CRISPR-Cas9 gene drive system targeting female reproduction in the malaria mosquito vector Anopheles gambiae","volume":"34","author":"Hammond","year":"2016","journal-title":"Nat Biotechnol"},{"issue":"10029","key":"2021031108124868300_msaa259-B18","doi-asserted-by":"crossref","first-page":"1785","DOI":"10.1016\/S0140-6736(15)00417-1","article-title":"Averting a malaria disaster: will insecticide resistance derail malaria control?","volume":"387","author":"Hemingway","year":"2016","journal-title":"Lancet"},{"issue":"4","key":"2021031108124868300_msaa259-B19","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1093\/genetics\/123.4.887","article-title":"The \u201chitchhiking effect\u201d revisited","volume":"123","author":"Kaplan","year":"1989","journal-title":"Genetics"},{"issue":"3","key":"2021031108124868300_msaa259-B20","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1093\/genetics\/146.3.1197","article-title":"A test of neutrality based on interlocus associations","volume":"146","author":"Kelly","year":"1997","journal-title":"Genetics"},{"issue":"24","key":"2021031108124868300_msaa259-B21","doi-asserted-by":"crossref","first-page":"3839","DOI":"10.1093\/bioinformatics\/btw556","article-title":"Discoal: flexible coalescent simulations with selection","volume":"32","author":"Kern","year":"2016","journal-title":"Bioinformatics"},{"key":"2021031108124868300_msaa259-B22","doi-asserted-by":"crossref","first-page":"1959","DOI":"10.1534\/g3.118.200262","article-title":"diploS\/HIC: an updated approach to classifying selective sweeps","volume":"8","author":"Kern","year":"2018","journal-title":"G3 (Bethesda)"},{"issue":"3","key":"2021031108124868300_msaa259-B23","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1534\/genetics.103.025387","article-title":"Linkage disequilibrium as a signature of selective sweeps","volume":"167","author":"Kim","year":"2004","journal-title":"Genetics"},{"key":"2021031108124868300_msaa259-B24","author":"Kingma","year":"2014"},{"issue":"2","key":"2021031108124868300_msaa259-B25","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1534\/genetics.113.150201","article-title":"A fast estimate for the population recombination rate based on regression","volume":"194","author":"Lin","year":"2013","journal-title":"Genetics"},{"issue":"1","key":"2021031108124868300_msaa259-B26","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1534\/genetics.110.122614","article-title":"Distinguishing positive selection from neutral evolution: boosting the performance of summary statistics","volume":"187","author":"Lin","year":"2011","journal-title":"Genetics"},{"issue":"5","key":"2021031108124868300_msaa259-B27","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1038\/ng.3254","article-title":"Exploring population size changes using SNP frequency spectra","volume":"47","author":"Liu","year":"2015","journal-title":"Nat Genet"},{"issue":"2","key":"2021031108124868300_msaa259-B28","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1046\/j.1365-2583.1998.72062.x","article-title":"Molecular characterization of pyrethroid knockdown resistance (kdr) in the major malaria vector Anopheles gambiae s.s","volume":"7","author":"Martinez-Torres","year":"1998","journal-title":"Insect Mol Biol"},{"key":"2021031108124868300_msaa259-B29","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1038\/nature24995","article-title":"Genetic diversity of the African malaria vector Anopheles gambiae","volume":"552","author":"Miles","year":"2017","journal-title":"Nature"},{"issue":"11","key":"2021031108124868300_msaa259-B30","doi-asserted-by":"crossref","first-page":"1566","DOI":"10.1101\/gr.4252305","article-title":"Genomic scans for selective sweeps using SNP data","volume":"15","author":"Nielsen","year":"2005","journal-title":"Genome Res"},{"issue":"1","key":"2021031108124868300_msaa259-B31","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1186\/s12936-015-0639-x","article-title":"The activity of the pyrrole insecticide chlorfenapyr in mosquito bioassay: towards a more rational testing and screening of non-neurotoxic insecticides for malaria vector control","volume":"14","author":"Oxborough","year":"2015","journal-title":"Malar J"},{"issue":"3","key":"2021031108124868300_msaa259-B32","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1534\/genetics.110.116459","article-title":"Searching for footprints of positive selection in whole-genome SNP data from nonequilibrium populations","volume":"185","author":"Pavlidis","year":"2010","journal-title":"Genetics"},{"key":"2021031108124868300_msaa259-B33","first-page":"2825","article-title":"Scikit-learn: machine learning in python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"issue":"4","key":"2021031108124868300_msaa259-B34","doi-asserted-by":"crossref","first-page":"R208","DOI":"10.1016\/j.cub.2009.11.055","article-title":"The genetics of human adaptation: hard sweeps, soft sweeps, and polygenic adaptation","volume":"20","author":"Pritchard","year":"2010","journal-title":"Curr Biol."},{"issue":"6","key":"2021031108124868300_msaa259-B35","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1093\/bioinformatics\/btv684","article-title":"Reliable ABC model choice via random forests","volume":"32","author":"Pudlo","year":"2016","journal-title":"Bioinformatics"},{"issue":"24","key":"2021031108124868300_msaa259-B36","doi-asserted-by":"crossref","first-page":"3946","DOI":"10.1093\/bioinformatics\/btv493","article-title":"Hierarchical boosting: a machine-learning framework to detect and classify hard selective sweeps in human populations","volume":"31","author":"Pybus","year":"2015","journal-title":"Bioinformatics"},{"issue":"2","key":"2021031108124868300_msaa259-B37","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1534\/genetics.110.119594","article-title":"Parallel adaptation: one or many waves of advance of an advantageous allele?","volume":"186","author":"Ralph","year":"2010","journal-title":"Genetics"},{"issue":"1","key":"2021031108124868300_msaa259-B38","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1534\/genetics.113.152587","article-title":"Learning natural selection from the site frequency spectrum","volume":"195","author":"Ronen","year":"2013","journal-title":"Genetics"},{"issue":"4","key":"2021031108124868300_msaa259-B39","doi-asserted-by":"crossref","first-page":"e1007341","DOI":"10.1371\/journal.pgen.1007341","article-title":"Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D.\u00a0sechellia","volume":"14","author":"Schrider","year":"2018","journal-title":"PLoS Genet"},{"issue":"3","key":"2021031108124868300_msaa259-B40","doi-asserted-by":"crossref","first-page":"e1005928","DOI":"10.1371\/journal.pgen.1005928","article-title":"S\/HIC: robust identification of soft and hard sweeps using machine learning","volume":"12","author":"Schrider","year":"2016","journal-title":"PLoS Genet"},{"issue":"8","key":"2021031108124868300_msaa259-B41","doi-asserted-by":"crossref","first-page":"1863","DOI":"10.1093\/molbev\/msx154","article-title":"Soft sweeps are the dominant mode of adaptation in the human genome","volume":"34","author":"Schrider","year":"2017","journal-title":"Mol Biol Evol"},{"issue":"4","key":"2021031108124868300_msaa259-B42","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/j.tig.2017.12.005","article-title":"Supervised machine learning for population genetics: a new paradigm","volume":"34","author":"Schrider","year":"2018","journal-title":"Trends Genet."},{"issue":"51","key":"2021031108124868300_msaa259-B43","doi-asserted-by":"crossref","first-page":"20666","DOI":"10.1073\/pnas.1114573108","article-title":"Heterozygote advantage as a natural consequence of adaptation in diploids","volume":"108","author":"Sellis","year":"2011","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"3","key":"2021031108124868300_msaa259-B44","doi-asserted-by":"crossref","first-page":"e1004845","DOI":"10.1371\/journal.pcbi.1004845","article-title":"Deep learning for population genetic inference","volume":"12","author":"Sheehan","year":"2016","journal-title":"PLoS Comput Biol"},{"key":"2021031108124868300_msaa259-B45","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1017\/S0016672300014634","article-title":"The hitch-hiking effect of a favourable gene","volume":"23","author":"Smith","year":"1974","journal-title":"Genet Res."},{"issue":"17","key":"2021031108124868300_msaa259-B46","doi-asserted-by":"crossref","first-page":"4562","DOI":"10.1111\/mec.14223","article-title":"Demographic model selection using random forests and the site frequency spectrum","volume":"26","author":"Smith","year":"2017","journal-title":"Mol Ecol"},{"issue":"2","key":"2021031108124868300_msaa259-B47","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/0040-5809(92)90045-U","article-title":"The effect of strongly selected substitutions on neutral polymorphism: analytical results based on diffusion theory","volume":"41","author":"Stephan","year":"1992","journal-title":"Theor Popul Biol"},{"issue":"1","key":"2021031108124868300_msaa259-B48","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1038\/s41467-018-03100-7","article-title":"Localization of adaptive variants in human genomes using averaged one-dependence estimation","volume":"9","author":"Sugden","year":"2018","journal-title":"Nat Commun"},{"issue":"2","key":"2021031108124868300_msaa259-B49","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1093\/sysbio\/syz060","article-title":"Accurate inference of tree topologies from multiple sequence alignments using deep learning","volume":"69","author":"Suvorov","year":"2020","journal-title":"Syst Biol"},{"issue":"2","key":"2021031108124868300_msaa259-B50","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1093\/genetics\/105.2.437","article-title":"Evolutionary relationship of DNA sequences in finite populations","volume":"105","author":"Tajima","year":"1983","journal-title":"Genetics"},{"issue":"3","key":"2021031108124868300_msaa259-B51","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1093\/genetics\/123.3.585","article-title":"Statistical method for testing the neutral mutation hypothesis by DNA polymorphism","volume":"123","author":"Tajima","year":"1989","journal-title":"Genetics"},{"issue":"2","key":"2021031108124868300_msaa259-B52","doi-asserted-by":"crossref","first-page":"827","DOI":"10.1534\/genetics.116.197285","article-title":"Evolution of resistance against CRISPR\/Cas9 gene drive","volume":"205","author":"Unckless","year":"2017","journal-title":"Genetics"},{"issue":"2","key":"2021031108124868300_msaa259-B53","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1534\/genetics.115.177592","article-title":"Modeling the manipulation of natural populations by the mutagenic chain reaction","volume":"201","author":"Unckless","year":"2015","journal-title":"Genetics"},{"issue":"3","key":"2021031108124868300_msaa259-B54","doi-asserted-by":"crossref","first-page":"e72","DOI":"10.1371\/journal.pbio.0040072","article-title":"A map of recent positive selection in the human genome","volume":"4","author":"Voight","year":"2006","journal-title":"PLoS Biol"},{"issue":"2","key":"2021031108124868300_msaa259-B55","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/0040-5809(75)90020-9","article-title":"On the number of segregating sites in genetical models without recombination","volume":"7","author":"Watterson","year":"1975","journal-title":"Theor Popul Biol"},{"key":"2021031108124868300_msaa259-B56","year":"2015"},{"issue":"6","key":"2021031108124868300_msaa259-B57","doi-asserted-by":"crossref","first-page":"e212","DOI":"10.1111\/1755-0998.12686","article-title":"Multi-DICE: R package for comparative population genomic inference under hierarchical co-demographic models of independent single-population size changes","volume":"17","author":"Xue","year":"2017","journal-title":"Mol Ecol Resour"},{"issue":"10","key":"2021031108124868300_msaa259-B58","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1038\/nmeth.3547","article-title":"Predicting effects of noncoding variants with deep learning-based sequence model","volume":"12","author":"Zhou","year":"2015","journal-title":"Nat Methods"}],"container-title":["Molecular Biology and Evolution"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/mbe\/advance-article-pdf\/doi\/10.1093\/molbev\/msaa259\/35547526\/msaa259.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/academic.oup.com\/mbe\/article-pdf\/38\/3\/1168\/36533669\/msaa259.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"http:\/\/academic.oup.com\/mbe\/article-pdf\/38\/3\/1168\/36533669\/msaa259.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,8]],"date-time":"2023-10-08T15:49:45Z","timestamp":1696780185000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/mbe\/article\/38\/3\/1168\/5918472"}},"subtitle":[],"editor":[{"given":"Daniel","family":"Falush","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2020,10,6]]},"references-count":58,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2020,10,6]]},"published-print":{"date-parts":[[2021,3,9]]}},"URL":"https:\/\/doi.org\/10.1093\/molbev\/msaa259","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/589069","asserted-by":"object"}]},"ISSN":["1537-1719"],"issn-type":[{"value":"1537-1719","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2021,3,1]]},"published":{"date-parts":[[2020,10,6]]}}}