Description
A Predictive Haplotyping Package.
Description
Used for predicting a genotype’s allelic state at a specific locus/QTL/gene. This is accomplished by using both a genotype matrix and a separate file which has categorizations about loci/QTL/genes of interest for the individuals in the genotypic matrix. A training population can be created from a panel of individuals who have been previously screened for specific loci/QTL/genes, and this previous screening could be summarized into a category. Using the categorization of individuals which have been genotyped using a genome wide marker platform, a model can be trained to predict what category (haplotype) an individual belongs in based on their genetic sequence in the region associated with the locus/QTL/gene. These trained models can then be used to predict the haplotype of a locus/QTL/gene for individuals which have been genotyped with a genome wide platform yet not genotyped for the specific locus/QTL/gene. This package is based off work done by Winn et al 2021. For more specific information on this method, refer to <doi:10.1007/s00122-022-04178-w>.
README.md
Read Me
This is a public repository for the R package 'HaploCatcher'. This package utilizes genome-wide molecular data, paired with historical locus/QTL/gene information, to train machine learning algorithms to produce predictive haplotype calls for lines which are genotyped with high density molecular platforms, yet not genotyped for the specific locus/QTL/gene in question. Any questions related to development, maintenance, and potential errors can be directed to: Dr. Zachary J. Winn [[email protected]].