{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T20:53:04Z","timestamp":1762980784350,"version":"3.37.3"},"reference-count":13,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2019,10,3]],"date-time":"2019-10-03T00:00:00Z","timestamp":1570060800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"SyncDev ERC"},{"name":"ERC_SynDev","award":["679792"],"award-info":[{"award-number":["679792"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,2,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>During development, progenitor cells undergo multiple rounds of cellular divisions during which transcriptional programs must be faithfully propagated. Investigating the timing of transcriptional activation, which is a highly stochastic phenomenon, requires the analysis of large amounts of data. In order to perform automatic image analysis of transcriptional activation, we developed a software that segments and tracks both small and large objects, leading the user from raw data up to the results in their final form.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>MitoTrack is a user-friendly open-access integrated software that performs the specific dual task of reporting the precise timing of transcriptional activation while keeping lineage tree history for each nucleus of a living developing embryo. The software works automatically but provides the possibility to easily supervise, correct and validate each step.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>MitoTrack is an open source Python software, embedded within a graphical user interface (download here).<\/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\/btz717","type":"journal-article","created":{"date-parts":[[2019,9,26]],"date-time":"2019-09-26T11:28:48Z","timestamp":1569497328000},"page":"1300-1302","source":"Crossref","is-referenced-by-count":5,"title":["MitoTrack, a user-friendly semi-automatic software for lineage tracking in living embryos"],"prefix":"10.1093","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7560-3859","authenticated-orcid":false,"given":"A","family":"Trullo","sequence":"first","affiliation":[{"name":"Institut de G\u00e9n\u00e9tique Mol\u00e9culaire de Montpellier, University of Montpellier , CNRS-UMR 5535, 1919 Route de Mende, Montpellier 34293 cedex 5, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4043-7250","authenticated-orcid":false,"given":"J","family":"Dufourt","sequence":"additional","affiliation":[{"name":"Institut de G\u00e9n\u00e9tique Mol\u00e9culaire de Montpellier, University of Montpellier , CNRS-UMR 5535, 1919 Route de Mende, Montpellier 34293 cedex 5, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M","family":"Lagha","sequence":"additional","affiliation":[{"name":"Institut de G\u00e9n\u00e9tique Mol\u00e9culaire de Montpellier, University of Montpellier , CNRS-UMR 5535, 1919 Route de Mende, Montpellier 34293 cedex 5, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2019,10,3]]},"reference":[{"key":"2023013110121732000_btz717-B1","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1038\/nmeth.3036","article-title":"Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data","volume":"11","author":"Amat","year":"2014","journal-title":"Nat. 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