{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T08:17:32Z","timestamp":1775117852286,"version":"3.50.1"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"15","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: We present a novel R package named synbreed to derive genome-based predictions from high-throughput genotyping and large-scale phenotyping data. The package contains a comprehensive collection of functions required to fit and cross-validate genomic prediction models. All functions are embedded within the framework of a single, unified data object. Thereby a versatile genomic prediction analysis pipeline covering data processing, visualization and analysis is established within one software package. The implementation is flexible with respect to a wide range of data formats and models. The package fills an existing gap in the availability of user-friendly software for next-generation genetics research and education.<\/jats:p>\n               <jats:p>Availability: \u00a0synbreed is open-source and available through CRAN http:\/\/cran.r-project.org\/web\/packages\/synbreed. The latest development version is available from R-Forge. The package synbreed is released with a vignette, a manual and three large-scale example datasets (from package synbreedData).<\/jats:p>\n               <jats:p>Contact: \u00a0chris.schoen@wzw.tum.de<\/jats:p>\n               <jats:p>Supplementary Information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/bts335","type":"journal-article","created":{"date-parts":[[2012,6,12]],"date-time":"2012-06-12T02:28:09Z","timestamp":1339468089000},"page":"2086-2087","source":"Crossref","is-referenced-by-count":256,"title":["synbreed: a framework for the analysis of genomic prediction data using R"],"prefix":"10.1093","volume":"28","author":[{"given":"Valentin","family":"Wimmer","sequence":"first","affiliation":[{"name":"Plant Breeding, Technische Universit\u00e4t M\u00fcnchen, Emil-Ramann-Stra\u00dfe 4, 85354 Freising, Germany"}]},{"given":"Theresa","family":"Albrecht","sequence":"additional","affiliation":[{"name":"Plant Breeding, Technische Universit\u00e4t M\u00fcnchen, Emil-Ramann-Stra\u00dfe 4, 85354 Freising, Germany"}]},{"given":"Hans-J\u00fcrgen","family":"Auinger","sequence":"additional","affiliation":[{"name":"Plant Breeding, Technische Universit\u00e4t M\u00fcnchen, Emil-Ramann-Stra\u00dfe 4, 85354 Freising, Germany"}]},{"given":"Chris-Carolin","family":"Sch\u00f6n","sequence":"additional","affiliation":[{"name":"Plant Breeding, Technische Universit\u00e4t M\u00fcnchen, Emil-Ramann-Stra\u00dfe 4, 85354 Freising, Germany"}]}],"member":"286","published-online":{"date-parts":[[2012,6,10]]},"reference":[{"key":"2023012512541097700_B1","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/s00122-011-1587-7","article-title":"Genome-based prediction of testcross values in maize","volume":"123","author":"Albrecht","year":"2011","journal-title":"Theor. 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