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Tuesday, June 28 • 11:06am - 11:24am
R/qtl: Just Barely Sustainable

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R/qtl is an R package for mapping quantitative trait loci (genetic loci that contribute to variation in quantitative traits, such as blood pressure) in experimental crosses (such as in mice). I began its development in 2000; there have been 46 software releases since 2001. The latest version contains 39k lines of R code, 24k lines of C code, and 16k lines of code for the documentation. The continued development and maintenance of the software has been challenging. I'll describe my experiences in developing and maintaining the package and in providing support to users. I'm currently working on a re-implementation of the package to better handle high-dimensional data and more complex experimental crosses. I'll describe my efforts to avoid repeating the mistakes I made the first time around.


Benoit Liquet

University Pau et Pays de L'Adour, ACEMS: Centre of Excellence for Mathematical and Statistical Frontiers, QUT, Australia

avatar for Karl Broman

Karl Broman

Professor, University of Wisconsin-Madison
Karl Broman is Professor in the Department of Biostatistics & Medical Informatics at the University of Wisconsin–Madison; research in statistical genetics; developer of R/qtl. Recently he has been focusing on interactive data visualization; see his R/qtlcharts package and his D3 examples. At UseR, he may be know as the “sock guy” or the “fruit snacks guy”.

Tuesday June 28, 2016 11:06am - 11:24am
Lane & Lyons & Lodato 326 Galvez Street Stanford, CA 94305-6105

Attendees (35)