{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T14:46:27Z","timestamp":1775054787549,"version":"3.50.1"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"S12","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2010,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>Widespread adoption of high-throughput sequencing has greatly increased the scale and sophistication of computational infrastructure needed to perform genomic research. An alternative to building and maintaining local infrastructure is \u201ccloud computing\u201d, which, in principle, offers on demand access to flexible computational infrastructure. However, cloud computing resources are not yet suitable for immediate \u201cas is\u201d use by experimental biologists.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>We present a cloud resource management system that makes it possible for individual researchers to compose and control an arbitrarily sized compute cluster on Amazon\u2019s EC2 cloud infrastructure without any informatics requirements. Within this system, an entire suite of biological tools packaged by the NERC Bio-Linux team (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/nebc.nerc.ac.uk\/tools\/bio-linux\" ext-link-type=\"uri\">http:\/\/nebc.nerc.ac.uk\/tools\/bio-linux<\/jats:ext-link>) is available for immediate consumption. The provided solution makes it possible, using only a web browser, to create a completely configured compute cluster ready to perform analysis in less than five minutes. Moreover, we provide an automated method for building custom deployments of cloud resources. This approach promotes reproducibility of results and, if desired, allows individuals and labs to add or customize an otherwise available cloud system to better meet their needs.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>The expected knowledge and associated effort with deploying a compute cluster in the Amazon EC2 cloud is not trivial. The solution presented in this paper eliminates these barriers, making it possible for researchers to deploy exactly the amount of computing power they need, combined with a wealth of existing analysis software, to handle the ongoing data deluge.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-11-s12-s4","type":"journal-article","created":{"date-parts":[[2011,1,5]],"date-time":"2011-01-05T20:14:10Z","timestamp":1294258450000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":121,"title":["Galaxy CloudMan: delivering cloud compute clusters"],"prefix":"10.1186","volume":"11","author":[{"given":"Enis","family":"Afgan","sequence":"first","affiliation":[]},{"given":"Dannon","family":"Baker","sequence":"additional","affiliation":[]},{"given":"Nate","family":"Coraor","sequence":"additional","affiliation":[]},{"given":"Brad","family":"Chapman","sequence":"additional","affiliation":[]},{"given":"Anton","family":"Nekrutenko","sequence":"additional","affiliation":[]},{"given":"James","family":"Taylor","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,12,21]]},"reference":[{"key":"4308_CR1","first-page":"23","volume-title":"Book Above the Clouds: A Berkeley View of Cloud Computing","author":"M Armbrust","year":"2009","unstructured":"Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A, Lee G, Patterson D, Rabkin A, Stoica I, Zaharia M: Above the Clouds: A Berkeley View of Cloud Computing. 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