About this document
Apple Genome Analysis and CRISPR Insights by nathan38 is a document available to read on EtoBox.
The document outlines a methodology for analyzing apple genomes to identify genes that control traits such as height, taste, and disease resistance, utilizing CRISPR for gene editing. It details the processes of genome data processing, expression clustering, and connecting gene modules to physical traits. Additionally, it introduces the use of Graph Neural Networks for predictive modeling of gene-trait relationships.
- Author
- nathan38
- Language
- EN