{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:52:33Z","timestamp":1740135153394,"version":"3.37.3"},"reference-count":8,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2016,1,27]],"date-time":"2016-01-27T00:00:00Z","timestamp":1453852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2016,1,27]],"date-time":"2016-01-27T00:00:00Z","timestamp":1453852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U54-HG003273"],"award-info":[{"award-number":["U54-HG003273"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Computational biologists daily face the need to explore massive amounts of genomic data. New visualization techniques can help researchers navigate and understand these big data. Horizon Charts are a relatively new visualization method that, under the right circumstances, maximizes data density without losing graphical perception.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Horizon Charts have been successfully applied to understand multi-metric time series data. We have adapted an existing JavaScript library (Cubism) that implements Horizon Charts for the time series domain so that it works effectively with genomic datasets. We call this new library DNAism.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Horizon Charts can be an effective visual tool to explore complex and large genomic datasets. Researchers can use our library to leverage these techniques to extract additional insights from their own datasets.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12859-016-0891-2","type":"journal-article","created":{"date-parts":[[2016,1,26]],"date-time":"2016-01-26T23:10:31Z","timestamp":1453849831000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DNAism: exploring genomic datasets on the web with Horizon Charts"],"prefix":"10.1186","volume":"17","author":[{"given":"David","family":"Rio Deiros","sequence":"first","affiliation":[]},{"given":"Richard A.","family":"Gibbs","sequence":"additional","affiliation":[]},{"given":"Jeffrey","family":"Rogers","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,1,27]]},"reference":[{"key":"891_CR1","unstructured":"Few S. Time on the horizon. Visual Business Intelligence Newsletter. 2008. http:\/\/www.perceptualedge.com\/articles\/visual_business_intelligence\/time_on_the_horizon.pdf."},{"key":"891_CR2","volume-title":"Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization. INFOVIS \u201905","author":"T Saito","year":"2005","unstructured":"Saito T, Miyamura HN, Yamamoto M, Saito H, Hoshiya Y, Kaseda T. Two-tone pseudo coloring: Compact visualization for one-dimensional data. In: Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization. INFOVIS \u201905. Washington, DC, USA: IEEE Computer Society: 2005. p. 23. http:\/\/ieeexplore.ieee.org\/xpl\/abstractAuthors.jsp?arnumber=1532144."},{"key":"891_CR3","doi-asserted-by":"crossref","unstructured":"Heer J, Kong N, Agrawala M. Sizing the horizon: the effects of chart size and layering on the graphical perception of time series visualizations. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Association for Computing Machinery: 2009. p. 1303\u20131312.","DOI":"10.1145\/1518701.1518897"},{"issue":"2","key":"891_CR4","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1093\/bib\/bbs029","volume":"14","author":"J Wang","year":"2013","unstructured":"Wang J, Kong L, Gao G, Luo J. A brief introduction to web-based genome browsers. Brief Bioinformatics. 2013; 14(2):131\u201343.","journal-title":"Brief Bioinformatics"},{"key":"891_CR5","first-page":"bbs038","volume":"038","author":"RM Kuhn","year":"2012","unstructured":"Kuhn RM, Haussler D, Kent WJ. The UCSC genome browser and associated tools. Brief Bioinformatics. 2012; 038:bbs038.","journal-title":"Brief Bioinformatics"},{"issue":"12","key":"891_CR6","doi-asserted-by":"publisher","first-page":"2301","DOI":"10.1109\/TVCG.2011.185","volume":"17","author":"M Bostock","year":"2011","unstructured":"Bostock M, Ogievetsky V, Heer J. D3 data-driven documents. IEEE Trans Vis Comput Graph. 2011; 17(12):2301\u20139.","journal-title":"IEEE Trans Vis Comput Graph."},{"issue":"5","key":"891_CR7","doi-asserted-by":"publisher","first-page":"718","DOI":"10.1093\/bioinformatics\/btq671","volume":"27","author":"H Li","year":"2011","unstructured":"Li H. Tabix: fast retrieval of sequence features from generic tab-delimited files. Bioinformatics. 2011; 27(5):718\u20139.","journal-title":"Bioinformatics"},{"issue":"8","key":"891_CR8","doi-asserted-by":"publisher","first-page":"1356","DOI":"10.1002\/pmic.201400377","volume":"15","author":"R Wang","year":"2015","unstructured":"Wang R, Perez-Riverol Y, Hermjakob H, Vizca\u00edno JA. Open source libraries and frameworks for biological data visualisation: A guide for developers. Proteomics. 2015; 15(8):1356\u201374.","journal-title":"Proteomics"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-016-0891-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12859-016-0891-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-016-0891-2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-016-0891-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T18:04:32Z","timestamp":1706810672000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-016-0891-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,1,27]]},"references-count":8,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2016,12]]}},"alternative-id":["891"],"URL":"https:\/\/doi.org\/10.1186\/s12859-016-0891-2","relation":{},"ISSN":["1471-2105"],"issn-type":[{"type":"electronic","value":"1471-2105"}],"subject":[],"published":{"date-parts":[[2016,1,27]]},"assertion":[{"value":"20 March 2015","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 January 2016","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 January 2016","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"49"}}