PROC QTL—A SAS Procedure for Mapping Quantitative Trait Loci
Joint Authors
Source
International Journal of Plant Genomics
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-3, 3 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-12-08
Country of Publication
Egypt
No. of Pages
3
Main Subjects
Abstract EN
Statistical analysis system (SAS) is the most comprehensive statistical analysis software package in the world.
It offers data analysis for almost all experiments under various statistical models.
Each analysis is performed using a particular subroutine, called a procedure (PROC).
For example, PROC ANOVA performs analysis of variances.
PROC QTL is a user-defined SAS procedure for mapping quantitative trait loci (QTL).
It allows users to perform QTL mapping for continuous and discrete traits within the SAS platform.
Users of PROC QTL are able to take advantage of all existing features offered by the general SAS software, for example, data management and graphical treatment.
The current version of PROC QTL can perform QTL mapping for all line crossing experiments using maximum likelihood (ML), least square (LS), iteratively reweighted least square (IRLS), Fisher scoring (FISHER), Bayesian (BAYES), and empirical Bayes (EBAYES) methods.
American Psychological Association (APA)
Hu, Zhiqiu& Xu, Shizhong. 2009. PROC QTL—A SAS Procedure for Mapping Quantitative Trait Loci. International Journal of Plant Genomics،Vol. 2009, no. 2009, pp.1-3.
https://search.emarefa.net/detail/BIM-449014
Modern Language Association (MLA)
Hu, Zhiqiu& Xu, Shizhong. PROC QTL—A SAS Procedure for Mapping Quantitative Trait Loci. International Journal of Plant Genomics No. 2009 (2009), pp.1-3.
https://search.emarefa.net/detail/BIM-449014
American Medical Association (AMA)
Hu, Zhiqiu& Xu, Shizhong. PROC QTL—A SAS Procedure for Mapping Quantitative Trait Loci. International Journal of Plant Genomics. 2009. Vol. 2009, no. 2009, pp.1-3.
https://search.emarefa.net/detail/BIM-449014
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449014