{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T13:07:53Z","timestamp":1781269673523,"version":"3.54.1"},"reference-count":71,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2018,11,5]],"date-time":"2018-11-05T00:00:00Z","timestamp":1541376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"National Institutes of Health subaward","award":["5P30AI027767\u201328 to S.M. and N.M."],"award-info":[{"award-number":["5P30AI027767\u201328 to S.M. and N.M."]}]},{"name":"National Institutes of Health-National Institute of Allergy and Infectious Diseases K01 Career Development Award","award":["K01AI110181"],"award-info":[{"award-number":["K01AI110181"]}]},{"name":"National Institutes of Health-National Institute of Allergy and Infectious Diseases R01","award":["AI135992"],"award-info":[{"award-number":["AI135992"]}]},{"DOI":"10.13039\/100005192","name":"California HIV\/AIDS Research Program","doi-asserted-by":"publisher","award":["ID15-SD-052 to J.O.W."],"award-info":[{"award-number":["ID15-SD-052 to J.O.W."]}],"id":[{"id":"10.13039\/100005192","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["ACI-1053575"],"award-info":[{"award-number":["ACI-1053575"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>The ability to simulate epidemics as a function of model parameters allows insights that are unobtainable from real datasets. Further, reconstructing transmission networks for fast-evolving viruses like Human Immunodeficiency Virus (HIV) may have the potential to greatly enhance epidemic intervention, but transmission network reconstruction methods have been inadequately studied, largely because it is difficult to obtain \u2018truth\u2019 sets on which to test them and properly measure their performance.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We introduce FrAmework for VIral Transmission and Evolution Simulation (FAVITES), a robust framework for simulating realistic datasets for epidemics that are caused by fast-evolving pathogens like HIV. FAVITES creates a generative model to produce contact networks, transmission networks, phylogenetic trees and sequence datasets, and to add error to the data. FAVITES is designed to be extensible by dividing the generative model into modules, each of which is expressed as a fixed API that can be implemented using various models. We use FAVITES to simulate HIV datasets and study the realism of the simulated datasets. We then use the simulated data to study the impact of the increased treatment efforts on epidemiological outcomes. We also study two transmission network reconstruction methods and their effectiveness in detecting fast-growing clusters.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>FAVITES is available at https:\/\/github.com\/niemasd\/FAVITES, and a Docker image can be found on DockerHub (https:\/\/hub.docker.com\/r\/niemasd\/favites).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Supplementary information<\/jats:title>\n                    <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty921","type":"journal-article","created":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T16:54:42Z","timestamp":1541091282000},"page":"1852-1861","source":"Crossref","is-referenced-by-count":61,"title":["FAVITES: simultaneous simulation of transmission networks, phylogenetic trees and sequences"],"prefix":"10.1093","volume":"35","author":[{"given":"Niema","family":"Moshiri","sequence":"first","affiliation":[{"name":"Bioinformatics and Systems Biology Graduate Program, UC San Diego, La Jolla, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manon","family":"Ragonnet-Cronin","sequence":"additional","affiliation":[{"name":"Department of Medicine, UC San Diego, La Jolla, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joel O","family":"Wertheim","sequence":"additional","affiliation":[{"name":"Department of Medicine, UC San Diego, La Jolla, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siavash","family":"Mirarab","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, UC San Diego, La Jolla, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2018,11,5]]},"reference":[{"key":"2023012810014553500_bty921-B1","doi-asserted-by":"crossref","first-page":"e94","DOI":"10.1093\/nar\/gks251","article-title":"Grinder: a versatile amplicon and shotgun sequence simulator","volume":"40","author":"Angly","year":"2012","journal-title":"Nucleic Acids Res."},{"key":"2023012810014553500_bty921-B2","doi-asserted-by":"crossref","first-page":"e01824","DOI":"10.1128\/mBio.01824-14","article-title":"Phylodynamic analysis of clinical and environmental Vibrio cholera isolates from Haiti reveals diversification driven by positive selection","volume":"5","author":"Azarian","year":"2014","journal-title":"mBio"},{"key":"2023012810014553500_bty921-B3","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1126\/science.286.5439.509","article-title":"Emergence of scaling in random networks","volume":"286","author":"Barab\u00e1si","year":"1999","journal-title":"Science"},{"key":"2023012810014553500_bty921-B4","doi-asserted-by":"crossref","first-page":"e1001801","DOI":"10.1371\/journal.pmed.1001801","article-title":"Reassessment of HIV-1 acute phase infectivity: accounting for heterogeneity and study design with simulated cohorts","volume":"12","author":"Bellan","year":"2015","journal-title":"PLoS Med."},{"key":"2023012810014553500_bty921-B5","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1090\/S0002-9947-1984-0756039-5","article-title":"The evolution of random graphs","volume":"286","author":"Bollobas","year":"1984","journal-title":"Trans. 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