{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T17:54:32Z","timestamp":1792518872884,"version":"4.5.0"},"reference-count":3,"publisher":"Oxford University Press (OUP)","issue":"13","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Summary: We present BioBlend, a unified API in a high-level language (python) that wraps the functionality of Galaxy and CloudMan APIs. BioBlend makes it easy for bioinformaticians to automate end-to-end large data analysis, from scratch, in a way that is highly accessible to collaborators, by allowing them to both provide the required infrastructure and automate complex analyses over large datasets within the familiar Galaxy environment.<\/jats:p>\n                  <jats:p>Availability and implementation: http:\/\/bioblend.readthedocs.org\/. Automated installation of BioBlend is available via PyPI (e.g. pip install bioblend). Alternatively, the source code is available from the GitHub repository (https:\/\/github.com\/afgane\/bioblend) under the MIT open source license. The library has been tested and is working on Linux, Macintosh and Windows-based systems.<\/jats:p>\n                  <jats:p>Contact: enis.afgan@unimelb.edu.au<\/jats:p>","DOI":"10.1093\/bioinformatics\/btt199","type":"journal-article","created":{"date-parts":[[2013,4,29]],"date-time":"2013-04-29T20:37:19Z","timestamp":1367267839000},"page":"1685-1686","source":"Crossref","is-referenced-by-count":100,"title":["BioBlend: automating pipeline analyses within Galaxy and CloudMan"],"prefix":"10.1093","volume":"29","author":[{"given":"Clare","family":"Sloggett","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nuwan","family":"Goonasekera","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enis","family":"Afgan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2013,4,28]]},"reference":[{"key":"2023062614244094300_btt199-B1","doi-asserted-by":"crossref","first-page":"S4","DOI":"10.1186\/1471-2105-11-S12-S4","article-title":"Galaxy CloudMan: delivering cloud compute clusters","volume":"11","author":"Afgan","year":"2010","journal-title":"BMC Bioinformatics"},{"key":"2023062614244094300_btt199-B2","doi-asserted-by":"crossref","first-page":"972","DOI":"10.1038\/nbt.2028","article-title":"Harnessing cloud computing with Galaxy Cloud","volume":"29","author":"Afgan","year":"2011","journal-title":"Nat. Biotech."},{"key":"2023062614244094300_btt199-B3","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1038\/nrg3305","article-title":"Next-generation sequencing data interpretation: enhancing reproducibility and accessibility","volume":"13","author":"Nekrutenko","year":"2012","journal-title":"Nat. Rev. Genet."}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/29\/13\/1685\/50702441\/bioinformatics_29_13_1685.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/29\/13\/1685\/50702441\/bioinformatics_29_13_1685.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T11:24:37Z","timestamp":1687778677000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/29\/13\/1685\/185761"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,4,28]]},"references-count":3,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2013,7,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btt199","relation":{},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"value":"1367-4803","type":"print"},{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2013,7]]},"published":{"date-parts":[[2013,4,28]]}}}