{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T05:11:54Z","timestamp":1780549914550,"version":"3.54.1"},"reference-count":8,"publisher":"Oxford University Press (OUP)","issue":"24","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>Summary: GWASTools is an R\/Bioconductor package for quality control and analysis of genome-wide association studies (GWAS). GWASTools brings the interactive capability and extensive statistical libraries of R to GWAS. Data are stored in NetCDF format to accommodate extremely large datasets that cannot fit within R\u2019s memory limits. The documentation includes instructions for converting data from multiple formats, including variants called from sequencing. GWASTools provides a convenient interface for linking genotypes and intensity data with sample and single nucleotide polymorphism annotation.<\/jats:p>\n               <jats:p>Availability and implementation: GWASTools is implemented in R and is available from Bioconductor (http:\/\/www.bioconductor.org). An extensive vignette detailing a recommended work flow is included.<\/jats:p>\n               <jats:p>Contact: \u00a0sdmorris@uw.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/bts610","type":"journal-article","created":{"date-parts":[[2012,10,12]],"date-time":"2012-10-12T00:24:35Z","timestamp":1350001475000},"page":"3329-3331","source":"Crossref","is-referenced-by-count":199,"title":["GWASTools: an R\/Bioconductor package for quality control and analysis of genome-wide association studies"],"prefix":"10.1093","volume":"28","author":[{"given":"Stephanie M.","family":"Gogarten","sequence":"first","affiliation":[{"name":"1 Department of Biostatistics, University of Washington, Seattle, WA, 2Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA, 3Department of Health Services, University of Washington, Seattle, WA, USA and 4Department of Statistics, University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tushar","family":"Bhangale","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics, University of Washington, Seattle, WA, 2Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA, 3Department of Health Services, University of Washington, Seattle, WA, USA and 4Department of Statistics, University of Auckland, Auckland, New Zealand"},{"name":"1 Department of Biostatistics, University of Washington, Seattle, WA, 2Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA, 3Department of Health Services, University of Washington, Seattle, WA, USA and 4Department of Statistics, University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew P.","family":"Conomos","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics, University of Washington, Seattle, WA, 2Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA, 3Department of Health Services, University of Washington, Seattle, WA, USA and 4Department of Statistics, University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cecelia A.","family":"Laurie","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics, University of Washington, Seattle, WA, 2Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA, 3Department of Health Services, University of Washington, Seattle, WA, USA and 4Department of Statistics, University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caitlin P.","family":"McHugh","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics, University of Washington, Seattle, WA, 2Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA, 3Department of Health Services, University of Washington, Seattle, WA, USA and 4Department of Statistics, University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ian","family":"Painter","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics, University of Washington, Seattle, WA, 2Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA, 3Department of Health Services, University of Washington, Seattle, WA, USA and 4Department of Statistics, University of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuwen","family":"Zheng","sequence":"additional","affiliation":[{"name":"1 Department of Biostatistics, University of Washington, Seattle, WA, 2Department of Bioinformatics and Computational Biology, Genentech Inc, South San Francisco, CA, 3Department of Health Services, University of 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