{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:40:57Z","timestamp":1760708457538},"reference-count":3,"publisher":"Oxford University Press (OUP)","issue":"23","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Motivation: Galaxy is a software application supporting high-throughput biology analyses and work flows, available as a free on-line service or as source code for local deployment. New tools can be written to extend Galaxy, and these can be shared using public Galaxy Tool Shed (GTS) repositories, but converting even simple scripts into tools requires effort from a skilled developer.<\/jats:p>\n               <jats:p>Results: The Tool Factory is a novel Galaxy tool that automates the generation of all code needed to execute user-supplied scripts, and wraps them into new Galaxy tools for upload to a GTS, ready for review and installation through the Galaxy administrative interface.<\/jats:p>\n               <jats:p>Availability and implementation: The Galaxy administrative interface supports automated installation from the main GTS. Source code and support are available at the project website, https:\/\/bitbucket.org\/fubar\/galaxytoolfactory. The Tool Factory is implemented as an installable Galaxy tool.<\/jats:p>\n               <jats:p>Contact: \u00a0ross.lazarus@channing.harvard.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/bts573","type":"journal-article","created":{"date-parts":[[2012,10,1]],"date-time":"2012-10-01T00:27:47Z","timestamp":1349051267000},"page":"3139-3140","source":"Crossref","is-referenced-by-count":9,"title":["Creating reusable tools from scripts: the Galaxy Tool Factory"],"prefix":"10.1093","volume":"28","author":[{"given":"Ross","family":"Lazarus","sequence":"first","affiliation":[]},{"given":"Antony","family":"Kaspi","sequence":"additional","affiliation":[]},{"given":"Mark","family":"Ziemann","sequence":"additional","affiliation":[]},{"name":"The Galaxy Team","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2012,9,28]]},"reference":[{"key":"2023062411494476800_bts573-B1","doi-asserted-by":"crossref","DOI":"10.1002\/0471142727.mb1910s89","article-title":"Galaxy: a web-based genome analysis tool for experimentalists","author":"Blankenberg","year":"2010","journal-title":"Curr. Protoc. Mol. Biol."},{"key":"2023062411494476800_bts573-B2","doi-asserted-by":"crossref","first-page":"R86","DOI":"10.1186\/gb-2010-11-8-r86","article-title":"A comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences","volume":"11","author":"Goecks","year":"2010","journal-title":"Genome Biol."},{"key":"2023062411494476800_bts573-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\/28\/23\/3139\/50694920\/bioinformatics_28_23_3139.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/28\/23\/3139\/50694920\/bioinformatics_28_23_3139.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,24]],"date-time":"2023-06-24T07:50:06Z","timestamp":1687593006000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/28\/23\/3139\/192853"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,9,28]]},"references-count":3,"journal-issue":{"issue":"23","published-print":{"date-parts":[[2012,12,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/bts573","relation":{},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"type":"print","value":"1367-4803"},{"type":"electronic","value":"1367-4811"}],"subject":[],"published-other":{"date-parts":[[2012,12]]},"published":{"date-parts":[[2012,9,28]]}}}