R/qtlcharts: Interactive graphics for quantitative trait locus mapping

Genetics

Volumn 199, Issue 2, 2014, Pages 359-361

  Broman, Karl W ^a  

^a UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

D3; Data visualization; QTL; Software

Indexed keywords

ARTICLE; COMPUTER GRAPHICS; COMPUTER LANGUAGE; COMPUTER PROGRAM; DOCUMENTATION; GENOME; GENOTYPE; INTERACTIVE GRAPHICS; MARKUP LANGUAGE; PHENOTYPE; PRIORITY JOURNAL; QUANTITATIVE TRAIT LOCUS; QUANTITATIVE TRAIT LOCUS MAPPING; CHROMOSOMAL MAPPING; INTERNET; PROCEDURES; SOFTWARE; WEB BROWSER;

CHROMOSOME MAPPING; INTERNET; QUANTITATIVE TRAIT LOCI; SOFTWARE; WEB BROWSER;

EID: 84936767879     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.114.172742     Document Type: Article

References (8)

1. Becker, R. A., and W. S. Cleveland, 1987 Brushing scatterplots. Technometrics 29: 127-142.
2. Bostock, M., V. Ogievetsky, and J. Heer, 2011 D3: data-driven documents. IEEE Trans. Vis. Comp. Graph. 17: 2301-2309.
3. Broman, K. W., H. Wu, S. Sen, and G. A. Churchill, 2003 R/qtl: QTL mapping in experimental crosses. Bioinformatics 19: 889– 890.
4. Knuth, D. E., 1984 Literate programming. Comput. J. 27: 97–111.
5. Moore, C. R., L. S. Johnson, I.-Y. Kwak, M. Livny, K. W. Broman et al., 2013 High-throughput computer vision introduces the time axis to a quantitative trait map of a plant growth response. Genetics 195: 1077–1086.
6. R Core Team, 2013 R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing,Vienna.
7. Theus, M., and S. Urbanek, 2008 Interactive Graphics for Data Analysis: Principles and Examples. Chapman & Hall/CRC, Boca Raton, FL.
8. Xie, Y., 2013 Dynamic Documents with R and knitr. Chapman & Hall/CRC\, Boca Raton, FL.