The goal of this project is to develop a powerful and efficient computing algorithm for whole-genome sequence association and prediction analyses. This project will provide the Alberta beef industry and research institutions with a powerful tool for fast integration of sequence information into genomic research and applications. Specifically, the newly developed algorithm and platform are expected to facilitate the identification of the causal mutations for complex traits due to the simultaneous modelling of sequence variants and their annotation information. It is also expected to improve the accuracy of genomic prediction compared to the current array-based methods from using the whole genome sequence variants and their genome annotation information in the prediction.