DocumentCode
3319063
Title
Notice of Retraction
Mapping Quantitative Trait Loci Using Sliding Three Markers in RIL Population Based on Correlation Method
Author
Xiaotian Huang ; Shanghong Zhang ; Hong Li
Author_Institution
Dept. of Biol. Eng., Chongqing Technol. & Bus. Univ., Chongqing, China
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
4
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, the author has put forward a correlation method of QTL location using sliding three markers in RIL population and the estimating method of the recombination rate. We may obtain Pearson correlation coefficient between marker interval and phenotypic value of QTL of interest through assigning a value to flanking markers. Hence, we may test the linkage between marker interval and QTL. Meanwhile, we may estimate the recombination rate between QTL and marker using correlation coefficient R under certain condition.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, the author has put forward a correlation method of QTL location using sliding three markers in RIL population and the estimating method of the recombination rate. We may obtain Pearson correlation coefficient between marker interval and phenotypic value of QTL of interest through assigning a value to flanking markers. Hence, we may test the linkage between marker interval and QTL. Meanwhile, we may estimate the recombination rate between QTL and marker using correlation coefficient R under certain condition.
Keywords
bioinformatics; correlation methods; genetics; molecular biophysics; molecular configurations; Pearson correlation coefficient; RIL population; correlation method; flanking markers; marker interval; phenotypic value; quantitative trait loci mapping; recombination rate; sliding three markers; Biological system modeling; Correlation; Couplings; Genomics; Maximum likelihood estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5780110
Filename
5780110
Link To Document