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The system is set up to automatically scale as data deluge, providing high-performance services without sacrificing security, Bick says. The volume of research involving big data in genomics is still relatively small, and Bick is not the only one trying to position Terra as a commercial option.


In March 2016, PerkinElmer Inc. was awarded a US$28 million contract to develop a commercial genome informatics platform (CGIP), offering direct access to data from individual research studies. CGIP will provide information on participants and their medical histories, in addition to their genomic data. Its immediate goal, according to PerkinElmer, is to help researchers understand the causes and consequences of illness. It will also be able to perform comparisons of patient groups from different studies.


And then there is Atlas, an early example of what cloud-computing companies hope will be a profitable business model. In the four years since it was founded, Atlas has picked up more than 50 research contracts from major funders, and uses cloud computing to pull together data sets gathered in the life sciences from individual projects. According to Molly Zielinski, the companys director of public affairs, Atlas looks at public and private data in tandem, and uses open-source software to build analysis tools that can help researchers see the big picture.


Theres nothing proprietary about the way that Atlas works, she says. But individual studies were not aware of the company. As researchers are able to directly manipulate data in Atlas, they are more engaged with the project, and the resulting data sets are also better. 84d34552a1