{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T11:19:02Z","timestamp":1767179942489,"version":"build-2238731810"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1008454","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000}}],"reference-count":69,"publisher":"Public Library of Science (PLoS)","issue":"11","license":[{"start":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T00:00:00Z","timestamp":1606694400000},"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":["1R01EB025022"],"award-info":[{"award-number":["1R01EB025022"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institute of Health","award":["1R01EB025022"],"award-info":[{"award-number":["1R01EB025022"]}]},{"name":"Georgia State University Molecular Basis of Disease"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    One of the hallmarks of cancer is the extremely high mutability and genetic instability of tumor cells. Inherent heterogeneity of intra-tumor populations manifests itself in high variability of clone instability rates. Analogously to fitness landscapes, the instability rates of clonal populations form their mutability landscapes. Here, we present MULAN (MUtability LANdscape inference), a maximum-likelihood computational framework for inference of mutation rates of individual cancer subclones using single-cell sequencing data. It utilizes the partial information about the orders of mutation events provided by cancer mutation trees and extends it by inferring full evolutionary history and mutability landscape of a tumor. Evaluation of mutation rates on the level of subclones rather than individual genes allows to capture the effects of genomic interactions and epistasis. We estimate the accuracy of our approach and demonstrate that it can be used to study the evolution of genetic instability and infer tumor evolutionary history from experimental data. MULAN is available at\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/github.com\/compbel\/MULAN\" xlink:type=\"simple\">https:\/\/github.com\/compbel\/MULAN<\/jats:ext-link>\n                    .\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1008454","type":"journal-article","created":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T14:16:34Z","timestamp":1606745794000},"page":"e1008454","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":4,"title":["Inference of mutability landscapes of tumors from single cell sequencing data"],"prefix":"10.1371","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7230-4009","authenticated-orcid":true,"given":"Viachaslau","family":"Tsyvina","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4424-4691","authenticated-orcid":true,"given":"Alex","family":"Zelikovsky","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5833-7659","authenticated-orcid":true,"given":"Sagi","family":"Snir","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4007-5624","authenticated-orcid":true,"given":"Pavel","family":"Skums","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2020,11,30]]},"reference":[{"issue":"7381","key":"pcbi.1008454.ref001","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1038\/nature10762","article-title":"Clonal evolution in cancer","volume":"481","author":"M Greaves","year":"2012","journal-title":"Nature"},{"issue":"11","key":"pcbi.1008454.ref002","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1038\/nrg3317","article-title":"Evolution of the cancer genome","volume":"13","author":"LR Yates","year":"2012","journal-title":"Nature Reviews Genetics"},{"issue":"12","key":"pcbi.1008454.ref003","doi-asserted-by":"crossref","first-page":"4055","DOI":"10.1158\/0008-5472.CAN-11-0153","article-title":"Heterogeneity maintenance in glioblastoma: a social network","volume":"71","author":"R Bonavia","year":"2011","journal-title":"Cancer research"},{"issue":"11","key":"pcbi.1008454.ref004","doi-asserted-by":"crossref","first-page":"1388","DOI":"10.1158\/1940-6207.CAPR-10-0108","article-title":"A comprehensive survey of clonal diversity measures in Barrett\u2019s esophagus as biomarkers of progression to esophageal adenocarcinoma","volume":"3","author":"LM Merlo","year":"2010","journal-title":"Cancer prevention research"},{"key":"pcbi.1008454.ref005","first-page":"83","article-title":"Studying cancer genomics through next-generation DNA sequencing and bioinformatics","author":"MA Doyle","year":"2014","journal-title":"Clinical Bioinformatics"},{"issue":"4","key":"pcbi.1008454.ref006","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1016\/j.cell.2013.01.019","article-title":"Evolution and impact of subclonal mutations in chronic lymphocytic leukemia","volume":"152","author":"DA Landau","year":"2013","journal-title":"Cell"},{"issue":"2","key":"pcbi.1008454.ref007","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.bbcan.2017.02.001","article-title":"Advances in understanding tumour evolution through single-cell sequencing","volume":"1867","author":"J Kuipers","year":"2017","journal-title":"Biochimica et Biophysica Acta (BBA)-Reviews on Cancer"},{"issue":"4","key":"pcbi.1008454.ref008","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1016\/j.celrep.2019.06.067","article-title":"Beyond Synthetic Lethality: Charting the Landscape of Pairwise Gene Expression States Associated with Survival in Cancer","volume":"28","author":"A Magen","year":"2019","journal-title":"Cell reports"},{"key":"pcbi.1008454.ref009","doi-asserted-by":"crossref","first-page":"2124","DOI":"10.1038\/ncomms3124","article-title":"Genome evolution predicts genetic interactions in protein complexes and reveals cancer drug targets","volume":"4","author":"X Lu","year":"2013","journal-title":"Nature communications"},{"issue":"1","key":"pcbi.1008454.ref010","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.cell.2011.03.020","article-title":"Genetic interactions in cancer progression and treatment","volume":"145","author":"A Ashworth","year":"2011","journal-title":"Cell"},{"issue":"10","key":"pcbi.1008454.ref011","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1038\/nrg.2017.47","article-title":"Synthetic lethality and cancer","volume":"18","author":"NJ O\u2019Neil","year":"2017","journal-title":"Nature Reviews Genetics"},{"issue":"7","key":"pcbi.1008454.ref012","doi-asserted-by":"crossref","first-page":"e1005626","DOI":"10.1371\/journal.pcbi.1005626","article-title":"Epistasis in genomic and survival data of cancer patients","volume":"13","author":"D Matlak","year":"2017","journal-title":"PLoS computational biology"},{"issue":"6","key":"pcbi.1008454.ref013","doi-asserted-by":"crossref","first-page":"1375","DOI":"10.1016\/j.cell.2019.05.005","article-title":"Identifying epistasis in cancer genomes: a delicate affair","volume":"177","author":"J van de Haar","year":"2019","journal-title":"Cell"},{"key":"pcbi.1008454.ref014","doi-asserted-by":"crossref","first-page":"290","DOI":"10.3389\/fgene.2013.00290","article-title":"Genetic interaction networks: better understand to better predict","volume":"4","author":"B Boucher","year":"2013","journal-title":"Frontiers in genetics"},{"issue":"44","key":"pcbi.1008454.ref015","doi-asserted-by":"crossref","first-page":"15682","DOI":"10.1073\/pnas.0406614101","article-title":"Combining biological networks to predict genetic interactions","volume":"101","author":"SL Wong","year":"2004","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"pcbi.1008454.ref016","doi-asserted-by":"crossref","DOI":"10.1515\/9780691187051","volume-title":"Fitness landscapes and the origin of species (MPB-41)","author":"S Gavrilets","year":"2004"},{"issue":"14","key":"pcbi.1008454.ref017","doi-asserted-by":"crossref","first-page":"i389","DOI":"10.1093\/bioinformatics\/btz332","article-title":"Estimating the predictability of cancer evolution","volume":"35","author":"SR Hosseini","year":"2019","journal-title":"Bioinformatics"},{"issue":"14","key":"pcbi.1008454.ref018","doi-asserted-by":"crossref","first-page":"i398","DOI":"10.1093\/bioinformatics\/btz392","article-title":"Inference of clonal selection in cancer populations using single-cell sequencing data","volume":"35","author":"P Skums","year":"2019","journal-title":"Bioinformatics"},{"key":"pcbi.1008454.ref019","article-title":"Molecular biology and evolution of cancer: from discovery to action","author":"JA Somarelli","year":"2019","journal-title":"Molecular biology and evolution"},{"issue":"25","key":"pcbi.1008454.ref020","doi-asserted-by":"crossref","first-page":"14800","DOI":"10.1073\/pnas.93.25.14800","article-title":"The mutation rate and cancer","volume":"93","author":"IP Tomlinson","year":"1996","journal-title":"Proceedings of the National Academy of Sciences"},{"issue":"1","key":"pcbi.1008454.ref021","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12915-018-0493-8","article-title":"Nothing in cancer makes sense except\u2026","volume":"16","author":"M Greaves","year":"2018","journal-title":"BMC biology"},{"issue":"1-2","key":"pcbi.1008454.ref022","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1023\/A:1025861527711","article-title":"Genomic instability and colon cancer","volume":"23","author":"WM Grady","year":"2004","journal-title":"Cancer and metastasis reviews"},{"issue":"7","key":"pcbi.1008454.ref023","doi-asserted-by":"crossref","first-page":"589","DOI":"10.2174\/1566524033479456","article-title":"Genomic instability and cancer","volume":"3","author":"GS Charames","year":"2003","journal-title":"Current molecular medicine"},{"issue":"6","key":"pcbi.1008454.ref024","first-page":"1085","article-title":"Mutational signatures and mutable motifs in cancer genomes","volume":"19","author":"IB Rogozin","year":"2017","journal-title":"Briefings in bioinformatics"},{"issue":"1","key":"pcbi.1008454.ref025","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1186\/s13059-016-0936-x","article-title":"Tree inference for single-cell data","volume":"17","author":"K Jahn","year":"2016","journal-title":"Genome biology"},{"key":"pcbi.1008454.ref026","first-page":"268243","article-title":"Inferring Cancer Progression from Single Cell Sequencing while allowing loss of mutations","author":"S Ciccolella","year":"2018","journal-title":"bioRxiv"},{"issue":"17","key":"pcbi.1008454.ref027","doi-asserted-by":"crossref","first-page":"i671","DOI":"10.1093\/bioinformatics\/bty589","article-title":"SPhyR: tumor phylogeny estimation from single-cell sequencing data under loss and error","volume":"34","author":"M El-Kebir","year":"2018","journal-title":"Bioinformatics"},{"issue":"14","key":"pcbi.1008454.ref028","doi-asserted-by":"crossref","first-page":"i408","DOI":"10.1093\/bioinformatics\/btz312","article-title":"Summarizing the solution space in tumor phylogeny inference by multiple consensus trees","volume":"35","author":"N Aguse","year":"2019","journal-title":"Bioinformatics"},{"key":"pcbi.1008454.ref029","article-title":"12 Grand challenges in single-cell data science","author":"D Laehnemann","year":"2019","journal-title":"PeerJ Preprints"},{"key":"pcbi.1008454.ref030","article-title":"Inferring growth and genetic evolution of tumors from genome sequences","author":"V K\u00f6rber","year":"2019","journal-title":"Current Opinion in Systems Biology"},{"issue":"7570","key":"pcbi.1008454.ref031","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1038\/nature14898","article-title":"Transcriptional plasticity promotes primary and acquired resistance to BET inhibition","volume":"525","author":"P Rathert","year":"2015","journal-title":"Nature"},{"issue":"3","key":"pcbi.1008454.ref032","article-title":"Genome-wide prediction of synthetic rescue mediators of resistance to targeted and immunotherapy","volume":"15","author":"AD Sahu","year":"2019","journal-title":"Molecular systems biology"},{"issue":"18","key":"pcbi.1008454.ref033","doi-asserted-by":"crossref","first-page":"1725","DOI":"10.1056\/NEJMra1407390","article-title":"Applying synthetic lethality for the selective targeting of cancer","volume":"371","author":"DP McLornan","year":"2014","journal-title":"New England Journal of Medicine"},{"issue":"5","key":"pcbi.1008454.ref034","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1016\/j.cell.2009.02.024","article-title":"Principles of cancer therapy: oncogene and non-oncogene addiction","volume":"136","author":"J Luo","year":"2009","journal-title":"Cell"},{"key":"pcbi.1008454.ref035","first-page":"1","article-title":"Quantification of subclonal selection in cancer from bulk sequencing data","author":"MJ Williams","year":"2018","journal-title":"Nature genetics"},{"issue":"3","key":"pcbi.1008454.ref036","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1038\/nrg1020","article-title":"The modern molecular clock","volume":"4","author":"L Bromham","year":"2003","journal-title":"Nature Reviews Genetics"},{"issue":"5","key":"pcbi.1008454.ref037","doi-asserted-by":"crossref","first-page":"e151","DOI":"10.1371\/journal.pbio.0040151","article-title":"Model selection and the molecular clock","volume":"4","author":"OG Pybus","year":"2006","journal-title":"PLoS Biology"},{"issue":"5","key":"pcbi.1008454.ref038","doi-asserted-by":"crossref","first-page":"e88","DOI":"10.1371\/journal.pbio.0040088","article-title":"Relaxed phylogenetics and dating with confidence","volume":"4","author":"AJ Drummond","year":"2006","journal-title":"PLoS biology"},{"issue":"11","key":"pcbi.1008454.ref039","doi-asserted-by":"crossref","first-page":"e1002785","DOI":"10.1371\/journal.pcbi.1002785","article-title":"Universal Pacemaker of Genome Evolution","volume":"8","author":"S Snir","year":"2012","journal-title":"PLOS Computational Biology"},{"issue":"7","key":"pcbi.1008454.ref040","doi-asserted-by":"crossref","first-page":"1393","DOI":"10.1093\/gbe\/evt098","article-title":"Stability along with extreme variability in core genome evolution","volume":"5","author":"YI Wolf","year":"2013","journal-title":"Genome biology and evolution"},{"issue":"11","key":"pcbi.1008454.ref041","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pcbi.1005183","article-title":"A Statistical Framework to Identify Deviation from Time Linearity in Epigenetic Aging","volume":"12","author":"S Snir","year":"2016","journal-title":"PLOS Computational Biology"},{"key":"pcbi.1008454.ref042","author":"MJ Sanderson","year":"1997","journal-title":"A nonparametric approach to estimating divergence times in the absence of rate constancy"},{"key":"pcbi.1008454.ref043","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1093\/oxfordjournals.molbev.a025892","article-title":"Estimating the rate of evolution of the rate of evolution","volume":"15","author":"J Thorn","year":"1998","journal-title":"Mol Biol Evol"},{"key":"pcbi.1008454.ref044","article-title":"Genomic instability and cancer","volume":"5","author":"Y Yao","year":"2014","journal-title":"Journal of carcinogenesis & mutagenesis"},{"issue":"11","key":"pcbi.1008454.ref045","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1101\/gr.234435.118","article-title":"PhISCS: a combinatorial approach for subperfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data","volume":"29","author":"S Malikic","year":"2019","journal-title":"Genome Research"},{"issue":"1","key":"pcbi.1008454.ref046","doi-asserted-by":"crossref","first-page":"2750","DOI":"10.1038\/s41467-019-10737-5","article-title":"Integrative inference of subclonal tumour evolution from single-cell and bulk sequencing data","volume":"10","author":"S Malikic","year":"2019","journal-title":"Nature communications"},{"issue":"12","key":"pcbi.1008454.ref047","doi-asserted-by":"crossref","first-page":"i62","DOI":"10.1093\/bioinformatics\/btv261","article-title":"Reconstruction of clonal trees and tumor composition from multi-sample sequencing data","volume":"31","author":"M El-Kebir","year":"2015","journal-title":"Bioinformatics"},{"issue":"1","key":"pcbi.1008454.ref048","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1186\/1471-2105-15-35","article-title":"Inferring clonal evolution of tumors from single nucleotide somatic mutations","volume":"15","author":"W Jiao","year":"2014","journal-title":"BMC bioinformatics"},{"issue":"9","key":"pcbi.1008454.ref049","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1093\/bioinformatics\/btv003","article-title":"Clonality inference in multiple tumor samples using phylogeny","volume":"31","author":"S Malikic","year":"2015","journal-title":"Bioinformatics"},{"issue":"1","key":"pcbi.1008454.ref050","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1186\/s13059-016-0929-9","article-title":"OncoNEM: inferring tumor evolution from single-cell sequencing data","volume":"17","author":"EM Ross","year":"2016","journal-title":"Genome biology"},{"issue":"1","key":"pcbi.1008454.ref051","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1186\/s13059-017-1311-2","article-title":"SiFit: inferring tumor trees from single-cell sequencing data under finite-sites models","volume":"18","author":"H Zafar","year":"2017","journal-title":"Genome biology"},{"issue":"2","key":"pcbi.1008454.ref052","doi-asserted-by":"crossref","first-page":"e142","DOI":"10.1093\/bioinformatics\/btl306","article-title":"Efficient inference on known phylogenetic trees using Poisson regression","volume":"23","author":"S Rosset","year":"2007","journal-title":"Bioinformatics"},{"key":"pcbi.1008454.ref053","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511804441","volume-title":"Convex optimization","author":"S Boyd","year":"2004"},{"issue":"2","key":"pcbi.1008454.ref054","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1002\/j.1538-7305.1970.tb01770.x","article-title":"An efficient heuristic procedure for partitioning graphs","volume":"49","author":"BW Kernighan","year":"1970","journal-title":"Bell system technical journal"},{"key":"pcbi.1008454.ref055","first-page":"5","article-title":"Inferring parsimonious migration histories for metastatic cancers","volume":"2","author":"M El-Kebir","year":"2018","journal-title":"Nature Genetics"},{"issue":"4","key":"pcbi.1008454.ref056","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.cels.2020.04.001","article-title":"SCARLET: Single-Cell Tumor Phylogeny Inference with Copy-Number Constrained Mutation Losses","volume":"10","author":"G Satas","year":"2020","journal-title":"Cell Systems"},{"key":"pcbi.1008454.ref057","first-page":"gr","article-title":"Single cell DNA sequencing reveals a late-dissemination model in metastatic colorectal cancer","author":"ML Leung","year":"2017","journal-title":"Genome research"},{"key":"pcbi.1008454.ref058","article-title":"PhISCS-BnB: A Fast Branch and Bound Algorithm for the Perfect Tumor Phylogeny Reconstruction Problem","author":"ES Azer","year":"2020","journal-title":"bioRxiv"},{"issue":"5","key":"pcbi.1008454.ref059","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1016\/j.cell.2012.02.028","article-title":"Single-cell exome sequencing and monoclonal evolution of a JAK2-negative myeloproliferative neoplasm","volume":"148","author":"Y Hou","year":"2012","journal-title":"Cell"},{"issue":"50","key":"pcbi.1008454.ref060","doi-asserted-by":"crossref","first-page":"17947","DOI":"10.1073\/pnas.1420822111","article-title":"Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics","volume":"111","author":"C Gawad","year":"2014","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"pcbi.1008454.ref061","article-title":"Single-cell sequencing data reveal widespread recurrence and loss of mutational hits in the life histories of tumors","author":"J Kuipers","year":"2017","journal-title":"Genome research"},{"issue":"430","key":"pcbi.1008454.ref062","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1080\/01621459.1995.10476572","article-title":"Bayes factors","volume":"90","author":"RE Kass","year":"1995","journal-title":"Journal of the american statistical association"},{"key":"pcbi.1008454.ref063","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1007\/978-1-4612-1694-0_16","volume-title":"Selected Papers of Hirotugu Akaike","author":"H Akaike","year":"1974"},{"issue":"2","key":"pcbi.1008454.ref064","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1214\/aos\/1176344136","article-title":"Estimating the dimension of a model","volume":"6","author":"G Schwarz","year":"1978","journal-title":"The annals of statistics"},{"key":"pcbi.1008454.ref065","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511623486","volume-title":"The neutral theory of molecular evolution","author":"M Kimura","year":"1983"},{"issue":"2","key":"pcbi.1008454.ref066","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1111\/j.1558-5646.1993.tb02124.x","article-title":"The molecular clock and the relationship between population size and generation time","volume":"47","author":"L Chao","year":"1993","journal-title":"Evolution"},{"issue":"6","key":"pcbi.1008454.ref067","doi-asserted-by":"crossref","first-page":"1308","DOI":"10.1093\/molbev\/msy079","article-title":"Neutral theory and the somatic evolution of cancer","volume":"35","author":"VL Cannataro","year":"2018","journal-title":"Molecular biology and evolution"},{"issue":"3","key":"pcbi.1008454.ref068","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1038\/ng.3489","article-title":"Identification of neutral tumor evolution across cancer types","volume":"48","author":"MJ Williams","year":"2016","journal-title":"Nature genetics"},{"issue":"1","key":"pcbi.1008454.ref069","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1534\/genetics.114.172312","article-title":"A framework for inferring fitness landscapes of patient-derived viruses using quasispecies theory","volume":"199","author":"D Seifert","year":"2015","journal-title":"Genetics"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1008454","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T00:00:00Z","timestamp":1607558400000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1008454","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T01:16:19Z","timestamp":1669857379000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1008454"}},"subtitle":[],"editor":[{"given":"Teresa M.","family":"Przytycka","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2020,11,30]]},"references-count":69,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2020,11,30]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1008454","relation":{},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,30]]}}}