Integration of heterogeneous functional genomics data in gerontology research to find genes and pathway underlying aging across species.

ABSTRACT: Understanding the biological mechanisms behind aging, lifespan and healthspan is becoming increasingly important as the proportion of the world's population over the age of 65 grows, along with the cost and complexity of their care. BigData oriented approaches and analysis methods enable current and future bio-gerontologists to synthesize, distill and interpret vast, heterogeneous data from functional genomics studies of aging. GeneWeaver is an analysis system for integration of data that allows investigators to store, search, and analyze immense amounts of data including user-submitted experimental data, data from primary publications, and data in other databases. Aging related genome-wide gene sets from primary publications were curated into this system in concert with data from other mo

SUBMITTER: Bubier JA 

PROVIDER: S-EPMC6461221 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature