{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,12]],"date-time":"2024-06-12T13:51:15Z","timestamp":1718200275686},"reference-count":16,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":1703,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,4,1]]},"abstract":"Abstract<\/jats:title>\n Summary: \u00a0xQTL workbench is a scalable web platform for the mapping of quantitative trait loci (QTLs) at multiple levels: for example gene expression (eQTL), protein abundance (pQTL), metabolite abundance (mQTL) and phenotype (phQTL) data. Popular QTL mapping methods for model organism and human populations are accessible via the web user interface. Large calculations scale easily on to multi-core computers, clusters and Cloud. All data involved can be uploaded and queried online: markers, genotypes, microarrays, NGS, LC-MS, GC-MS, NMR, etc. When new data types come available, xQTL workbench is quickly customized using the Molgenis software generator.<\/jats:p>\n Availability: \u00a0xQTL workbench runs on all common platforms, including Linux, Mac OS X and Windows. An online demo system, installation guide, tutorials, software and source code are available under the LGPL3 license from http:\/\/www.xqtl.org.<\/jats:p>\n Contact: \u00a0m.a.swertz@rug.nl<\/jats:p>","DOI":"10.1093\/bioinformatics\/bts049","type":"journal-article","created":{"date-parts":[[2012,2,4]],"date-time":"2012-02-04T04:04:34Z","timestamp":1328328274000},"page":"1042-1044","source":"Crossref","is-referenced-by-count":16,"title":["xQTL workbench: a scalable web environment for multi-level QTL analysis"],"prefix":"10.1093","volume":"28","author":[{"given":"Danny","family":"Arends","sequence":"first","affiliation":[{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"}]},{"given":"K. Joeri","family":"van der Velde","sequence":"additional","affiliation":[{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"}]},{"given":"Pjotr","family":"Prins","sequence":"additional","affiliation":[{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"},{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"}]},{"given":"Karl W.","family":"Broman","sequence":"additional","affiliation":[{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"}]},{"given":"Steffen","family":"M\u00f6ller","sequence":"additional","affiliation":[{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"}]},{"given":"Ritsert C.","family":"Jansen","sequence":"additional","affiliation":[{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"}]},{"given":"Morris A.","family":"Swertz","sequence":"additional","affiliation":[{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"},{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"},{"name":"1 Groningen Bioinformatics Centre, University of Groningen, Groningen, 2Laboratory of Nematology, Wageningen University, Wageningen, The Netherlands, 3Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA, 4Institut f\u00fcr Neuro- und Bioinformatik, Universit\u00e4t zu L\u00fcbeck, 5Genomics Coordination Centre, University Medical Centre Groningen, University of Groningen, The Netherlands and 6EMBL-EBI, the European Bioinformatics Institute, Hinxton, UK"}]}],"member":"286","published-online":{"date-parts":[[2012,2,3]]},"reference":[{"key":"2023012512220245200_B1","doi-asserted-by":"crossref","first-page":"2990","DOI":"10.1093\/bioinformatics\/btq565","article-title":"R\/qtl: high throughput multiple QTL mapping","volume":"26","author":"Arends","year":"2010","journal-title":"Bioinformatics"},{"key":"2023012512220245200_B2","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1093\/bioinformatics\/btg112","article-title":"R\/qtl: QTL mapping in experimental crosses","volume":"19","author":"Broman","year":"2003","journal-title":"Bioinformatics"},{"key":"2023012512220245200_B3","article-title":"Bioinformatics tools and database resources for systems genetics analysis in mice\u00f1a short review and an evaluation of future needs","author":"Durrant","year":"2011","journal-title":"Brief. Bioinform."},{"key":"2023012512220245200_B4","doi-asserted-by":"crossref","first-page":"R86","DOI":"10.1186\/gb-2010-11-8-r86","article-title":"Galaxy: 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":"2023012512220245200_B5","doi-asserted-by":"crossref","first-page":"1322","DOI":"10.1038\/ejhg.2010.112","article-title":"Nordicdb: a nordic pool and portal for genome-wide control data","volume":"18","author":"Leu","year":"2010","journal-title":"Eur. J. Hum. Genet."},{"key":"2023012512220245200_B6","article-title":"Scalable Computing in Evolutionary Genomics","volume-title":"Evolutionary Genomics: statistical and computational methods.","author":"Prins","year":"2011"},{"key":"2023012512220245200_B7","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1086\/519795","article-title":"Plink: a tool set for whole-genome association and population-based linkage analyses","volume":"81","author":"Purcell","year":"2007","journal-title":"Am. J. Hum. Genet."},{"key":"2023012512220245200_B8","doi-asserted-by":"crossref","first-page":"2075","DOI":"10.1093\/bioinformatics\/bth206","article-title":"Molecular Genetics Information System (MOLGENIS): alternatives in developing local experimental genomics databases","volume":"20","author":"Swertz","year":"2004","journal-title":"Bioinformatics"},{"issue":"Suppl. 12","key":"2023012512220245200_B9","doi-asserted-by":"crossref","first-page":"S12","DOI":"10.1186\/1471-2105-11-S12-S12","article-title":"The molgenis toolkit: rapid prototyping of biosoftware at the push of a button","volume":"11","author":"Swertz","year":"2010","journal-title":"BMC Bioinformatics"},{"key":"2023012512220245200_B10","doi-asserted-by":"crossref","first-page":"R27","DOI":"10.1186\/gb-2010-11-3-r27","article-title":"Xgap: a uniform and extensible data model and software platform for genotype and phenotype experiments","volume":"11","author":"Swertz","year":"2010","journal-title":"Genome. Biol."},{"key":"2023012512220245200_B11","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1038\/nrg2048","article-title":"Beyond standardization: dynamic software infrastructures for systems biology","volume":"8","author":"Swertz","year":"2007","journal-title":"Natl Revl. Genetl."},{"key":"2023012512220245200_B12","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1038\/nrg2857-c1","article-title":"Big data, but are we ready?","volume":"12","author":"Trelles","year":"2011","journal-title":"Nat. Rev. Genet."},{"key":"2023012512220245200_B13","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1002\/humu.21551","article-title":"The international dystrophic epidermolysis bullosa patient registry: an online database of dystrophic epidermolysis bullosa patients and their col7a1 mutations","volume":"32","author":"van den Akker","year":"2011","journal-title":"Huml. Mutatl."},{"key":"2023012512220245200_B14","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1385\/NI:1:4:299","article-title":"Webqtl","volume":"1","author":"Wang","year":"2003","journal-title":"Neuroinformatics"},{"key":"2023012512220245200_B15","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1093\/bioinformatics\/btm011","article-title":"R\/qtlbim: QTL with Bayesian interval mapping in experimental crosses","volume":"23","author":"Yandell","year":"2007","journal-title":"Bioinformatics"},{"key":"2023012512220245200_B16","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1093\/bioinformatics\/btm494","article-title":"Qtlnetwork: mapping and visualizing genetic architecture of complex traits in experimental populations","volume":"24","author":"Yang","year":"2008","journal-title":"Bioinformatics"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/28\/7\/1042\/48878723\/bioinformatics_28_7_1042.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/28\/7\/1042\/48878723\/bioinformatics_28_7_1042.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T15:48:10Z","timestamp":1674661690000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/28\/7\/1042\/209112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,2,3]]},"references-count":16,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2012,4,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/bts049","relation":{},"ISSN":["1367-4811","1367-4803"],"issn-type":[{"value":"1367-4811","type":"electronic"},{"value":"1367-4803","type":"print"}],"subject":[],"published-other":{"date-parts":[[2012,4,1]]},"published":{"date-parts":[[2012,2,3]]}}}