VAST Center: Viromes Across Space(s) and Time

Stanford University, Stanford CA

Investigators

Abstract

DATA ANALYSIS CORE ABSTRACT Our Data Analysis and Submission Core (DASC) proposal builds a unified system for human virome research that seamlessly integrates advanced computational tools to ensure the reliability and accessibility of datasets and processed results. Our research strategy encompasses three main objectives: First, it aims to develop a robust computational infrastructure that includes implementing cutting-edge systems, standardizing data and metadata protocols, and adhering to standardized operating procedures, all essential for enhanced data analysis. Second, the proposal focuses on integrating cross-validation, data interpretation, and preliminary studies, emphasizing the development of consistent and reliable analytic methods, undertaking an in- depth analysis for a profound understanding of the human virome, and conducting extensive preliminary studies across varied demographics. The third objective is to enhance the process of data submission and increase the accessibility of virome research data by developing user- friendly platforms, ensuring comprehensive data submission in compliance with consortium agreements. Our plan involves conducting systematic surveys of human viromes across diverse individuals and body sites, employing robust bioinformatic tools and methodologies for evaluating viral communities and quantifying viral species identification confidence. This approach is pivotal in advancing our understanding of the human virome, setting new benchmarks in data analysis, standardization, and dissemination of virological research. Overall, our DASC proposal is a groundbreaking initiative, aiming to significantly advance human virome research through innovative data analysis, standardization, and accessibility, it aspires to merge the molecular data types generated by the Virus Characterization Centers (VCCs) into a unified computational framework, quantifying viral richness and variation across demographically diverse human populations and different body sites, thereby paving the way for future innovations and applications that can profoundly impact human health and disease management.