AI for Metagenomics: Decoding the Microbiome
AI for Metagenomics: Decoding the Microbiome The human microbiome is often referred to as our “second genome.” Comprising trillions of microorganisms—bacteria, archaea, fungi, and viruses—these hidden ecosystems outnumber human cells and contain vastly more genetic diversity than our own DNA. But where human genomics deals with a single species and a relatively static genome, metagenomics is the study of a dynamic, highly complex, and constantly shifting multi-species community. Decoding the microbiome is arguably one of the most data-rich and complex challenges in modern biology. Traditional bioinformatics tools, while foundational, have struggled with the compositionality, sparsity, and high dimensionality of metagenomic data. ...