{"id":642852,"date":"2013-02-19T00:01:15","date_gmt":"2013-02-19T05:01:15","guid":{"rendered":"http:\/\/gigaom.com\/?p=611236"},"modified":"2013-02-19T00:01:15","modified_gmt":"2013-02-19T05:01:15","slug":"bina-launches-box-to-analyze-genomes-cloud-on-the-way","status":"publish","type":"post","link":"https:\/\/mereja.media\/index\/642852","title":{"rendered":"Bina launches box to analyze genomes; cloud on the way"},"content":{"rendered":"

Bina Technologies<\/a> is launching its Bina Box for on-premise genome processing, enabling researchers to quickly and cheaply analyze genomes and give doctors data-driven suggestions for custom treatments. <\/p>\n

Use a genome sequencer to see one person\u2019s DNA profile, and you\u2019ll get 6 billion unique characters, or half a terabyte of data, said Bina co-founder and CEO Narges Bani Asadi. Start processing it to find mutations and variations, and you\u2019ll find yourself with more than one terabyte. It\u2019s not small data. As the price of sequencing a genome keeps dropping, scientists will want to do this more and more. It\u2019s a big data problem, Bani Asadi said. The company wants to solve the problem on premises, with hardware and software.<\/p>\n

The Bina Box will run on \u201chigh-end Intel processors and very high-bandwidth memory,\u201d Bani Asadi said, and can scale out with additional Bina Boxes as customers processing needs change. Price depends on how much processing customers have in mind. If a customer wants to process 100 samples a month, for instance, it would cost $12,500 per month, or $125 per sample, said Mark Sutherland, Bina\u2019s senior vice president of business development.<\/p>\n

A Bina Cloud to tie in with the Bina Box will come later this year. The Bina Cloud will host just the needle of genomic data isolated from among the haystack of the entire genome, and it will enable scientists to aggregate many genomes, run data visualizations and collaborate to derive big-picture insights. Early customers are already using a pilot version of the cloud.<\/p>\n

The box offering contributes more proof of the notion that, for certain uses, public clouds might not make sense, not yet anyway. (It remains a largely popular perspective in financial services, as my colleague Barb Darrow reported<\/a> a couple of months ago.) The Bina Box, for its part, \u201cprovides security that on-premise solutions have, versus cloud solutions, (which) sometimes people in this industry are not completely ready to move into,\u201d Bani Asadi said. Big pharmaceutical companies are a perfect example, as a breach could hamper product development using genomes. Aside from security, there\u2019s the matter of performance. \u201cIt\u2019s impossible to send (half a terabyte of raw data from a sequencer) to the cloud easily,\u201d Bani Asadi said.<\/p>\n

Meanwhile, other genomics-focused startups, including DNAnexus<\/a> and Appistry<\/a>, are eschewing hardware and relying exclusively on cloud resources. <\/p>\n

Whether hardware is involved or not, as my colleague Derrick Harris mentioned<\/a> when he wrote about Bina last year, it\u2019s clear that the rise of big genomics inherently equates to a rise in data. <\/p>\n

The practice of merging life sciences and other industries with big data will come up in conversation when Ayasdi CEO Gurjeet Singh hits the stage at GigaOM\u2019s Structure:Data conference<\/a> on March 20 in New York.<\/p>\n

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