{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T23:48:46Z","timestamp":1790639326655,"version":"4.1.0"},"reference-count":14,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,2,12]],"date-time":"2024-02-12T00:00:00Z","timestamp":1707696000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,2,12]],"date-time":"2024-02-12T00:00:00Z","timestamp":1707696000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001711","name":"Swiss National Science Foundation","doi-asserted-by":"crossref","award":["310030B-201265"],"award-info":[{"award-number":["310030B-201265"]}],"id":[{"id":"10.13039\/501100001711","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003006","name":"ETH Zurich","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100003006","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Recording and analyzing microbial growth is a routine task in the life sciences. Microplate readers that record dozens to hundreds of growth curves simultaneously are increasingly used for this task raising the demand for their rapid and reliable analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Here, we present Dashing Growth Curves, an interactive web application (\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/dashing-growth-curves.ethz.ch\/\">http:\/\/dashing-growth-curves.ethz.ch\/<\/jats:ext-link>\n                      ) that enables researchers to quickly visualize and analyze growth curves without the requirement for coding knowledge and independent of operating system. Growth curves can be fitted with parametric and non-parametric models or manually. The application extracts maximum growth rates as well as other features such as lag time, length of exponential growth phase and maximum population size among others. Furthermore, Dashing Growth Curves automatically groups replicate samples and generates downloadable summary plots for of all growth parameters.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Dashing Growth Curves is an open-source web application that reduces the time required to analyze microbial growth curves from hours to minutes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12859-024-05692-y","type":"journal-article","created":{"date-parts":[[2024,2,12]],"date-time":"2024-02-12T12:02:27Z","timestamp":1707739347000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Dashing Growth Curves: a web application for rapid and interactive analysis of microbial growth curves"],"prefix":"10.1186","volume":"25","author":[{"given":"Michael A.","family":"Reiter","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia A.","family":"Vorholt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,12]]},"reference":[{"key":"5692_CR1","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1186\/s12859-016-1016-7","volume":"17","author":"K Sprouffske","year":"2016","unstructured":"Sprouffske K, Wagner A. Growthcurver: an R package for obtaining interpretable metrics from microbial growth curves. BMC Bioinformatics. 2016;17:172.","journal-title":"BMC Bioinformatics"},{"key":"5692_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v033.i07","volume":"33","author":"M Kahm","year":"2010","unstructured":"Kahm M, Hasenbrink G, Lichtenberg-Frat\u00e9 H, Ludwig J, Kschischo M. grofit: fitting biological growth curves with R. J Stat Softw. 2010;33:1\u201321.","journal-title":"J Stat Softw"},{"key":"5692_CR3","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.1093\/bioinformatics\/btx084","volume":"33","author":"DA Cuevas","year":"2017","unstructured":"Cuevas DA, Edwards RA. PMAnalyzer: a new web interface for bacterial growth curve analysis. Bioinformatics. 2017;33:1905\u20136.","journal-title":"Bioinformatics"},{"key":"5692_CR4","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1093\/molbev\/mst187","volume":"31","author":"BG Hall","year":"2014","unstructured":"Hall BG, Acar H, Nandipati A, Barlow M. Growth rates made easy. Mol Biol Evol. 2014;31:232\u20138.","journal-title":"Mol Biol Evol"},{"key":"5692_CR5","doi-asserted-by":"publisher","first-page":"2401","DOI":"10.1038\/s41596-023-00850-7","volume":"18","author":"NT Wirth","year":"2023","unstructured":"Wirth NT, Funk J, Donati S, Nikel PI. QurvE: user-friendly software for the analysis of biological growth and fluorescence data. Nat Protoc. 2023;18:2401\u20133.","journal-title":"Nat Protoc"},{"key":"5692_CR6","unstructured":"Petzoldt T. growthrates: Estimate Growth Rates from Experimental Data. R package version 0.8.4, https:\/\/CRAN.R-project.org\/package=growthrates. 2022."},{"key":"5692_CR7","doi-asserted-by":"publisher","unstructured":"Team, T. pandas development. pandas-dev\/pandas: Pandas. Preprint at https:\/\/doi.org\/10.5281\/zenodo.3509134 (2020).","DOI":"10.5281\/zenodo.3509134"},{"key":"5692_CR8","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1038\/s41586-020-2649-2","volume":"585","author":"CR Harris","year":"2020","unstructured":"Harris CR, et al. Array programming with NumPy. Nature. 2020;585:357\u201362.","journal-title":"Nature"},{"key":"5692_CR9","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","volume":"17","author":"P Virtanen","year":"2020","unstructured":"Virtanen P, et al. SciPy 10: fundamental algorithms for scientific computing in Python. Nat Methods. 2020;17:261\u201372.","journal-title":"Nat Methods"},{"key":"5692_CR10","unstructured":"Lebigot, E. O. 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