Microbial Genome

Microbial genome research focuses on understanding the structure, function, and evolution of microbial genomes, aiming to unlock insights into microbial diversity and their roles in various ecosystems. Current research heavily utilizes deep learning models, including transformer architectures and graph neural networks, to analyze genomic sequences, predict gene function, and perform tasks like metagenomic binning and haplotype assembly. These advancements are improving our ability to classify microbes, understand gene interactions, and even design new genetic sequences, with significant implications for medicine, biotechnology, and environmental science.

Papers