NIH R01 · 2024
Computational methods for discovery of disease-modulating microbial genes
ABSTRACT Microbial genes in gut and diseased tissues were recently linked with progression and outcomes of different human diseases, including cancer and immune diseases. Deciphering the pathogenic roles of different microbial genes can improve diagnosis, prognostication, and treatment of human diseases. Yet, current methods for RNA and shotgun metagenomic sequencing focus on microbial species, and do not allow a systematic detection or quantification of microbial genes. Therefore, current methods for disease prognostication and biomarker discovery are unable to consider microbial genes that influence human diseases. Our overarching hypothesis is that there are unknown associations between…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.