As human genome is increasingly incorporated in sufferer records and research databases, IT will be challenged to sort through the huge amounts of data to enable research and make better the patient care.
That is the promise of latest technology launched by a Canadian company, which is making a product intended to assist large provider research agencies that will require managing massive databases to facilitate precision medicine applications.
PHEMI, deployed in Vancouver, is publishing PHEMI Central Precision Medicine Edition to deal the data issued posed by human genome and genomic research. The company assumed that 100 million to 2 billion human genomes will be sequenced in the next decade, with a single human genome predicted to fill at least three gigabytes of data.
The product works of company “out of the box” and utilizes the Oracle Big Data Appliance and is constructed on Hadoop Big Data technology, enabling it to take in millions of variants in less than a minute and give sub-second query response times. The vendor claims these capabilities can assist reduce the time researchers and analysts spend loading, searching and observing vast amounts of genomic and phenotypic data, as well as drive better understanding of disease and treatment options.
“Our clients in precision medicine have informed us they require 2 key things: a unified view across genotypic and phenotypic information at the whole genome level for hundreds of thousands of samples, and the capability to look up and query that information at speed,” claims Paul Terry, PHEMI’s CEO. The product offers “interactive performance across the genotype and phenotype at scale, independent of the amount and kinds of data in the system.”
Standard interfaces within the PHEMI offering give integration with existing analytics tools, while PHEMI’s built-in data management and privacy functionality implement rightful access to data. PHEMI Central Precision Medicine Edition offers the means to combine genotypic, phenotypic and clinical information from individual silos, annotate it using several reference datasets, as well as index and query it at speed and scale to drive discovery and better understanding of disease and treatment options. It’s available as a managed cloud service or on-premise.
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