Author:
Hamid Ashrafi, University of California, Davis
This tutorial instructs users how to locate, download, and load R and R/QTL software. The tutorial also provides users with R/QTL commands used to load data and perform simple interval mapping (SIM), composite interval mapping (CIM), and multiple interval mapping (MIM).
In the event that the slideshare tutorial does not work, the tutorial is also attached as a pdf at the bottom of the page.
References Cited
- The R project for statistical computing [Online]. Available at: http://www.r-project.org/ (verified 23 Nov 2010).
Additional Resources
- Arends, D., P. Prins, R. C. Jansen, and K. W. Broman. 2010. R/qtl: high-throughput multiple QTL mapping. Bioinformatics 26: 2990–2992. (Available online at: http://dx.doi.org/10.1093/bioinformatics/btq565) (verified 30 Aug 2012).
- Broman, K. W., H. Wu, S. Sen, and G. A, Churchill. 2003. R/qtl: QTL mapping in experimental crosses. Bioinformatics 19: 889–890. (Available online at: http://dx.doi.org/10.1093/bioinformatics/btg112) (verified 30 Aug 2012).
- R/QTL: a QTL mapping environment [Online]. Available at: http://www.rqtl.org/ (verified 30 Aug 2012).
Funding Statement
Development of this lesson was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, agreement 2009-85606-05673, administered by Michigan State University. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.
Attachments:
RQTL Tutorial.pdf (1.42 MB)
PBGworks 915