SBIR-STTR Award

Adapting the Berkeley Big Data Analytics Stack to Genomics and Health
Award last edited on: 11/27/2017

Sponsored Program
SBIR
Awarding Agency
NIH : NIGMS
Total Award Amount
$2,156,406
Award Phase
2
Solicitation Topic Code
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Principal Investigator
Alexander Wait-Zaranek

Company Information

Curoverse Inc (AKA: Curoverse Innovations Inc)

212 Elm Street 3rd Floor
Somerville, MA 02144
   (617) 500-6568
   N/A
   www.curoverse.com
Location: Single
Congr. District: 07
County: Middlesex

Phase I

Contract Number: N/A
Start Date: 9/15/2017    Completed: 8/31/2019
Phase I year
2017
Phase I Amount
$1
Direct to Phase II

Phase II

Contract Number: 1R44GM119858-01A1
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
2017
(last award dollars: 2018)
Phase II Amount
$2,156,405

We propose building a computational platform based on the high performance Berkeley Big Data Analytics Stack (BDAS) to support a new ecosystem of Clinical Decision Support (CDS) applications. This platform will make it faster, easier, and less expensive to develop molecular Clinical Decision Support Systems. These systems require real-time queries of globally distributed data, efficient machine learning on large genomic datasets, and must be secure, fault-tolerant and scalable. BDAS and associated technologies are designed to help us meet these challenges and are therefore ideal building blocks to help us create our computational platform. To encourage the adoption of standards for the querying and sharing of large genomic datasets, we will adapt the BDAS stack to support the standards of the Global Alliance for Genomics and Health (GA4GH).

Public Health Relevance Statement:
Project Narrative Funding this work will help establish a production quality FOSS implementation of the important Global Alliance for Genomics and Health standards. Without such open-source implementations, a fragmented and proprietary platform ecosystem would slow down innovation as well as divert resources away from the practice of medicine.

Project Terms:
Adoption; Algorithms; Apache; base; Big Data; Big Data to Knowledge; Businesses; Capital; Clinical; Clinical Decision Support Systems; Cloud Computing; cloud platform; cluster computing; Collaborations; Collection; commercialization; Communities; Computer software; Contractor; Data; Data Analytics; Data Set; design; distributed data; Distributed Systems; Ecosystem; Ensure; Feedback; Funding; Genome; genomic data; Genomics; Health; health care delivery; Individual; individual patient; Industrialization; Industry; Ingestion; innovation; Institutes; International; Leadership; Letters; Machine Learning; Maintenance; Measures; Medicine; Molecular; open source; operation; Performance; petabyte; Phase; Phenotype; Policies; precision medicine; Production; Provider; Publications; Resources; Running; Secure; Services; Small Business Innovation Research Grant; Software Tools; Source; symposium; System; Technology; Time; Training; Variant; web services; whole genome; Work