ADDI Funds New Projects to Expand ADWB Tools Repository

ADDI solicited ideas from across academia and industry for the development of new tools, models, or algorithms to be shared with users of the AD Workbench in order to expand the existing suite of analytics for the benefit of the user community and the advancement of Alzheimer’s disease (AD) research. ADDI has selected two projects for funding that will expand the AD Workbench tools repository:

Data Tecnica International – The team at Data Tecnica International seeks to build better healthcare by accelerating open innovation and maximizing the potential of scientific communities. ADDI will fund the development of a genome-wide association study (GWAS) research package in which Data Tecnica will adopt a high-quality GWAS pipeline on the AD Workbench, set the common format for GWAS summary statistics, and further explore tools that provide a pipeline for visualization queries and meta-analyses.

Rutgers University Bioada Lab – Bioada is a scalable, near real-time and federated data exploration and predictive modeling platform for analyzing healthcare data in general and microarray and RNA-Seq data, developed by Dr. Saed Sayad and his team at Rutgers University. The platform allows for the analysis of big data to accelerate the pace of biomarkers discovery and build and share Polygenic Risk Score models for a variety of diseases (e.g., Alzheimer’s disease, cancers, etc.). ADDI’s funding will support the development of a publicly available cloud- and web-based version of the Bioada platform and integrate Bioada into the AD Workbench so that users can pull it into their workspace and apply on the data.

ADDI supports the development of new tools, models, algorithms, and/or applications that can be uploaded to the AD Workbench, utilized in workspaces, and shared openly for use by the research community while following FAIR data principles.

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