{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T07:12:20Z","timestamp":1693811540288},"reference-count":18,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2016,12,20]],"date-time":"2016-12-20T00:00:00Z","timestamp":1482192000000},"content-version":"vor","delay-in-days":5,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Innovative Medicines Initiative and the pharmaceutical EFPIA members UCB, Bayer, Eli Lilly, IRIS Services and Genzyme Sanofi","award":["PRECISESADS 6A #115565"],"award-info":[{"award-number":["PRECISESADS 6A #115565"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Here we present open-source software for the analysis of high-dimensional cytometry data using state of the art algorithms. Importantly, use of the software requires no programming ability, and output files can either be interrogated directly in CymeR or they can be used downstream with any other cytometric data analysis platform. Also, because we use Docker to integrate the multitude of components that form the basis of CymeR, we have additionally developed a proof-of-concept of how future open-source bioinformatic programs with graphical user interfaces could be developed.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and Implementation<\/jats:title>\n                  <jats:p>CymeR is open-source software that ties several components into a single program that is perhaps best thought of as a self-contained data analysis operating system. Please see https:\/\/github.com\/bmuchmore\/CymeR\/wiki for detailed installation instructions.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btw707","type":"journal-article","created":{"date-parts":[[2016,11,10]],"date-time":"2016-11-10T12:05:40Z","timestamp":1478779540000},"page":"776-778","source":"Crossref","is-referenced-by-count":1,"title":["CymeR: cytometry analysis using KNIME, docker and R"],"prefix":"10.1093","volume":"33","author":[{"given":"B","family":"Muchmore","sequence":"first","affiliation":[{"name":"Centre for Genomics and Oncological Research (GENYO), Area of Genomic Medicine, Genetics of Complex Diseases, Pfizer-University of Granada-Andalusian Regional Government, Health Sciences Technology Park, Granada, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M E","family":"Alarc\u00f3n-Riquelme","sequence":"additional","affiliation":[{"name":"Centre for Genomics and Oncological Research (GENYO), Area of Genomic Medicine, Genetics of Complex Diseases, Pfizer-University of Granada-Andalusian Regional Government, Health Sciences Technology Park, Granada, Spain"},{"name":"IMM, Unit for Chronic Inflammatory Diseases, Karolinska Institutet, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2016,12,15]]},"reference":[{"key":"2023020204510461000_btw707-B1","first-page":"2078","article-title":"Destiny: diffusion maps for large-scale single-cell data in R","volume":"25","author":"Angerer","year":"2015","journal-title":"Bioinformatics"},{"key":"2023020204510461000_btw707-B2","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1038\/ni.3006","article-title":"High-dimensional analysis of the murine myeloid cell system","volume":"12","author":"Becher","year":"2014","journal-title":"Nat. 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