Statistical Tools in Marker Analysis
Abstract
Statistical tools play a crucial role in marker analysis, enabling researchers to decipher the genetic basis of complex traits by linking molecular markers to phenotypic data. These tools help analyze genetic diversity, construct linkage maps, identify quantitative trait loci (QTLs), and perform genome-wide association studies (GWAS). Advanced statistical methodologies enhance the precision, accuracy, and efficiency of marker analysis, supporting applications in genetics, genomics, and breeding.
Fields of Study & Subjects
Statistical Methods and Bayesian Inference
Bayesian Methods and Mixture Models
Statistical Methods and Applications
Publication details
- Pages
- 130–154
- Publication date
- 5 January 2026
- Language
- EN
- Document type
- Book chapter