Search
Skip to Search Results- 2Genome-Wide Association Study
- 1Algorithmics
- 1Alleles
- 1Animals
- 1Approximation algorithms
- 1Beef Cattle
-
2011
Goebel, Randy, Wang, Lusheng, Lin, Guohui, Li, Zhong
Technical report TR11-02. Given two genomic maps G1 and G2 each represented as a sequence of n gene markers, the maximal strip recovery (MSR) problem is to retain the maximum number of markers in both G1 and G2 such that the resultant subsequences, denoted as G1* and G2*, can be partitioned into...
-
2012
Wang, Lusheng, Moore, Steve S., Cai, Zhipeng, Goebel, Randy, Lin, Guohui, Wang, Yining, Stothard, Paul
Background Single nucleotide polymorphism (SNP) genotyping assays normally give rise to certain percents of no-calls; the problem becomes severe when the target organisms, such as cattle, do not have a high resolution genomic sequence. Missing SNP genotypes, when related to target traits, would...
-
Genome-wide association and genomic prediction of breeding values for fatty acid composition in subcutaneous adipose and longissimus lumborum muscle of beef cattle
Download2015
Ekine-Dzivenu, Chinyere, Basarab, John A., Li, Changxi, Chen, Liuhong, Vinsky, Michael D., Aalhus, Jennifer L., Fitzsimmons, Carolyn J., Stothard, Paul, Dugan, Mike E. R.
Background Identification of genetic variants that are associated with fatty acid composition in beef will enhance our understanding of host genetic influence on the trait and also allow for more effective improvement of beef fatty acid profiles through genomic selection and marker-assisted diet...
-
2009
Goebel, Randy, Chen, Jiyang, Yu, Philip S., Zaiane, Osmar R.
Technical report TR09-02. The significant increase in open access digital information has created incredible opportunities for modern database research, especially in exploiting significant computational resources to determine complex relationships within those data. In this paper, we consider...