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However, pipelines for analysis of these datasets that provide reproducible, efficient, and interactive visualization and interpretation are sorely lacking. To address this need, we introduce Thunor, an open-source software platform to manage, analyze, and visualize large, dose-dependent cell proliferation datasets. Thunor supports both end-point and time-based proliferation assays as input. It provides a simple, user-friendly interface with interactive plots and publication-quality images of cell proliferation time courses, dose\u2013response curves, and derived dose\u2013response metrics, e.g. IC50, including across datasets or grouped by tags. Tags are categorical labels for cell lines and drugs, used for aggregation, visualization and statistical analysis, e.g. cell line mutation or drug class\/target pathway. A graphical plate map tool is included to facilitate plate annotation with cell lines, drugs and concentrations upon data upload. Datasets can be shared with other users via point-and-click access control. We demonstrate the utility of Thunor to examine and gain insight from two large drug response datasets: a large, publicly available cell viability database and an in-house, high-throughput proliferation rate dataset. Thunor is available from www.thunor.net.<\/jats:p>","DOI":"10.1093\/nar\/gkab424","type":"journal-article","created":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T15:24:34Z","timestamp":1620141874000},"page":"W633-W640","source":"Crossref","is-referenced-by-count":6,"title":["Thunor: visualization and analysis of high-throughput dose\u2013response datasets"],"prefix":"10.1093","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6950-8908","authenticated-orcid":false,"given":"Alexander L R","family":"Lubbock","sequence":"first","affiliation":[{"name":"Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, 37232,\u00a0USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2112-6940","authenticated-orcid":false,"given":"Leonard A","family":"Harris","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, University of Arkansas, Fayetteville, AR, 72701,\u00a0USA"},{"name":"Interdisciplinary Graduate Program in Cell and Molecular Biology, University of Arkansas, Fayetteville, AR,\u00a072701,\u00a0USA"},{"name":"Cancer Biology Program, Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR, 72205,\u00a0USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7491-8672","authenticated-orcid":false,"given":"Vito","family":"Quaranta","sequence":"additional","affiliation":[{"name":"Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, 37232,\u00a0USA"},{"name":"Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, TN, 37232,\u00a0USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3272-4308","authenticated-orcid":false,"given":"Darren R","family":"Tyson","sequence":"additional","affiliation":[{"name":"Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, 37232,\u00a0USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3668-7468","authenticated-orcid":false,"given":"Carlos F","family":"Lopez","sequence":"additional","affiliation":[{"name":"Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, 37232,\u00a0USA"},{"name":"Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, TN, 37232,\u00a0USA"},{"name":"Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, 37232,\u00a0USA"}]}],"member":"286","published-online":{"date-parts":[[2021,5,26]]},"reference":[{"key":"2021070812105046800_B1","doi-asserted-by":"crossref","first-page":"D955","DOI":"10.1093\/nar\/gks1111","article-title":"Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells","volume":"41","author":"Yang","year":"2013","journal-title":"Nucleic Acids Res."},{"key":"2021070812105046800_B2","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1016\/j.cell.2013.08.003","article-title":"An interactive resource to identify cancer genetic and lineage dependencies targeted by small molecules","volume":"154","author":"Basu","year":"2013","journal-title":"Cell"},{"key":"2021070812105046800_B3","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1038\/s41586-019-1186-3","article-title":"Next-generation characterization of the Cancer Cell Line Encyclopedia","volume":"569","author":"Ghandi","year":"2019","journal-title":"Nature"},{"key":"2021070812105046800_B4","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1158\/1535-7163.MCT-10-0106","article-title":"Analysis of Food and Drug Administration-approved anticancer agents in the NCI60 panel of human tumor cell lines","volume":"9","author":"Holbeck","year":"2010","journal-title":"Mol. 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