PROC QTL—A SAS Procedure for Mapping Quantitative Trait Loci

Joint Authors

Hu, Zhiqiu
Xu, Shizhong

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

Botany

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