{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T04:24:51Z","timestamp":1773203091195,"version":"3.50.1"},"reference-count":6,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2020,2,14]],"date-time":"2020-02-14T00:00:00Z","timestamp":1581638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100001381","name":"Singapore National Research Foundation","doi-asserted-by":"publisher","award":["NRF-CRP20-2017-0002"],"award-info":[{"award-number":["NRF-CRP20-2017-0002"]}],"id":[{"id":"10.13039\/501100001381","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>Emerging single-cell RNA-sequencing data technologies has made it possible to capture and assess the gene expression of individual cells. Based on the similarity of gene expression profiles, many tools have been developed to generate an in silico ordering of cells in the form of pseudo-time trajectories. However, these tools do not provide a means to find the ordering of critical gene expression changes over pseudo-time. We present GeneSwitches, a tool that takes any single-cell pseudo-time trajectory and determines the precise order of gene expression and functional-event changes over time. GeneSwitches uses a statistical framework based on logistic regression to identify the order in which genes are either switched on or off along pseudo-time. With this information, users can identify the order in which surface markers appear, investigate how functional ontologies are gained or lost over time and compare the ordering of switching genes from two related pseudo-temporal processes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability<\/jats:title>\n                    <jats:p>GeneSwitches is available at https:\/\/geneswitches.ddnetbio.com.<\/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\/btaa099","type":"journal-article","created":{"date-parts":[[2020,2,10]],"date-time":"2020-02-10T07:09:32Z","timestamp":1581318572000},"page":"3273-3275","source":"Crossref","is-referenced-by-count":69,"title":["GeneSwitches: ordering gene expression and functional events in single-cell experiments"],"prefix":"10.1093","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0669-267X","authenticated-orcid":false,"given":"Elaine Y","family":"Cao","sequence":"first","affiliation":[{"name":"Program in Cardiovascular and Metabolic Disorders , Duke-NUS Medical School, 169857, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1239-1577","authenticated-orcid":false,"given":"John F","family":"Ouyang","sequence":"additional","affiliation":[{"name":"Program in Cardiovascular and Metabolic Disorders , Duke-NUS Medical School, 169857, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4390-0872","authenticated-orcid":false,"given":"Owen J L","family":"Rackham","sequence":"additional","affiliation":[{"name":"Program in Cardiovascular and Metabolic Disorders , Duke-NUS Medical School, 169857, Singapore"}]}],"member":"286","published-online":{"date-parts":[[2020,2,14]]},"reference":[{"key":"2023013112025858400_btaa099-B1","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1093\/bioinformatics\/btw798","article-title":"switchde: inference of switch-like differential expression along single-cell trajectories","volume":"33","author":"Campbell","year":"2017","journal-title":"Bioinformatics"},{"key":"2023013112025858400_btaa099-B2","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1016\/j.stem.2018.09.009","article-title":"Single-cell transcriptomic analysis of cardiac differentiation from human PSCs reveals HOPX-dependent cardiomyocyte maturation","volume":"23","author":"Friedman","year":"2018","journal-title":"Cell Stem Cell"},{"key":"2023013112025858400_btaa099-B3","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1038\/nmeth.4402","article-title":"Reversed graph embedding resolves complex single-cell trajectories","volume":"14","author":"Qiu","year":"2017","journal-title":"Nat. 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Biotechnol"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/bioinformatics\/advance-article-pdf\/doi\/10.1093\/bioinformatics\/btaa099\/32889604\/btaa099.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/36\/10\/3273\/48990745\/bioinformatics_36_10_3273.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/36\/10\/3273\/48990745\/bioinformatics_36_10_3273.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,26]],"date-time":"2023-09-26T11:52:09Z","timestamp":1695729129000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/36\/10\/3273\/5736130"}},"subtitle":[],"editor":[{"given":"Anthony","family":"Mathelier","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2020,2,14]]},"references-count":6,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2020,5,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btaa099","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/832626","asserted-by":"object"}]},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"value":"1367-4803","type":"print"},{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2020,5,15]]},"published":{"date-parts":[[2020,2,14]]}}}