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Joe Stanganelli

Cloud Moves in on Bioscience

Written by Joe Stanganelli
4/25/2012 9 comments
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BOSTON -- Speaking yesterday at the Bio-IT World Conference here, Jill Mesirov, associate director and chief informatics officer at the Broad Institute of MIT and Harvard, addressed trends and technical challenges in genomics in a keynote presentation.

Mesirov argued that genomics remains a field rife with accessibility hurdles -- chiefly because of the unwieldiness of the data.

To understand Mesirov's point calls for a bit of contextual information: Since the completion of the Human Genome Project (HGP) in 2003, private companies have been intent on unlocking the mysteries of DNA through mapping -- or "sequencing" -- the thousands of genes that make up the human genome. The HGP's efforts have led to important discoveries in the quest for cures of diseases such as cancer.

Jill Mesirov. Photo credit: Maria Nemchuk, Broad Institute
Jill Mesirov. Photo credit: Maria Nemchuk, Broad Institute

The Internet has been integral in helping medical science progress toward these goals. A couple of years ago, a company named 23andMe (the name is a reference to the 23 chromosomes on human mitochondria) crowdsourced research efforts by collecting self-reported biological trait information from more than 10,000 participants over the Internet. The information has helped researchers find associations among human traits, such as between eye color and hair color.

Thanks to the proliferation of data like this, it's never been cheaper to sequence the human genome. In the early days of the HGP, it was estimated that a single human genome sequencing would cost about $3 billion (or, to put that figure in perspective, 3 Instagrams). It wound up costing only about 10 percent of that amount. In 2007, the cost to sequence the human genome fell to a mere $1 million. Today, a human genome can be mapped for about $5,000 -- and the cost is fast approaching three figures.

Accordingly, "More and more types of data are being acquired by sequencing rather than other platforms," reports Mesirov. What's more, the data is higher quality, too, containing much less "noise."

The abundance of data, together with the growth of computation and networking, have made it possible to integrate the work of various labs and research projects. To drive the point home, Mesirov highlighted several important genomic discoveries in cancer research and other major areas of biomedicine made possible through integrative studies over the past seven years.

To support this work, however, Mesirov says that research biologists require better data management and better data identification capabilities -- including better visualization for large, integrated data sets.

Moreover, says Mesirov, "The workflows and algorithms are becoming much more complex... which means we're making greater demands on computing power."

Mesirov estimates that there are between 7,000 and 10,000 bioinformatics tools available for download on the Web, along with more than 5,000 data repositories. Getting these tools and these data to work together has proven difficult, overwhelming biologists -- especially, as Mesirov notes, biologists who aren't programmers.

To reduce the data complexity and inaccessibility research biologists have faced, the Broad Institute has stepped into the bioinformatics space with a "cooperative" solution -- GenomeSpace.

GenomeSpace is a cloud-based, open-source data management center that offers what Mesirov calls "a lightweight layer of interoperability." GenomeSpace supports several bioinformatics tools, all integrated to allow easy accessibility, easy conversion, and frictionless sharing. The Broad Institute's goal with GenomeSpace is to make the newest bioinformatics tools and most modern data management and identification methods available "to any working biologist."

Mesirov is careful to emphasize that GenomeSpace is not a monolith. Whereas a single "megatool" would offer limited flexibility as new methods are developed, GenomeSpace allows the tools it supports to maintain their unique identities. On GenomeSpace, data management tools look the same and feel the same as if you were using them directly -- except with the interoperability benefits of a cloud-based infrastructure.

Nine years ago this month, researchers completed the first human genome sequence, heralding a new era of biomedical research. As integrative data tools like GenomeSpace catch on, Mesirov predicts that in less than 10 years from now, biomedicine will enter a renaissance of accessibility.

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--Joe Stanganelli is a writer, attorney, and communications consultant. He is also principal and founding attorney of Beacon Hill Law in Boston. Follow him on Twitter at @JoeStanganelli.

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Thanks, Lin, for the compliments and feedback (though for what it's worth, I don't write the headlines).  :)

Please keep us/me posted on your thoughts about using GenomeSpace!

Kim Davis
Thinkernetter
Monday April 30, 2012 4:02:03 PM
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That's what I remembered, although I also recall that, while Amazon is donating the storage free, it is charging some fees for accessing the data.

DHagar
Thinkernetter
Monday April 30, 2012 1:46:11 PM
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That's great, hounhosp.  Then when added to personalized records and treatment protocols that correspond, that will truly advance medicine.

DHagar

hounhosp
Thinkernetter
Friday April 27, 2012 9:21:03 PM
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@Kim:

Didn't Amazon volunteer cloud storage space for the genome project?

Amazon "is donating a chunk of free cloud storage to the 1000 Genomes project, which aims to make it easier for scientists to search for genetic variations linked to diseases. " (more details here )

hounhosp
Thinkernetter
Friday April 27, 2012 9:17:24 PM
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 "if we can adapt it further to more commercial widespread use of bioscience down to the consumer personal health level."

 I think they will come to that in the future. They can start with a customer-oriented website that markets directely genetic tests to users.

DHagar
Thinkernetter
Friday April 27, 2012 8:24:09 PM
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Interesting points, lin, and that does make sense.  The fundamentals were there before the nomenclature.

Great insight though, Joe, on the adoption of cloud, with all of its current capabilities, by bioscience.  I think this is one of the cutting edge areas of healthcare that will demonstrate the value of big data and information/intelligence building. 

It will be exciting to see what the genome project does with it and if we can adapt it further to more commercial widespread use of bioscience down to the consumer personal health level.

DHagar

Kim Davis
Thinkernetter
Friday April 27, 2012 5:27:06 PM
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Didn't Amazon volunteer cloud storage space for the genome project?

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Great article, Joe.   The GenomeSpace platform sounds exciting.  It will be interesting to see if a platform that encourages interaction between researchers and removes the issue of computing constraints will change the speed or focus of bio-research.  In any case, I signed up for an invite to join GenomeSpace.  Not only for personal curiosity, but because I need all the help I can get in my quest to win the $3 million Heritage hospital stay challenge.

I have to take issue with your article title, because I think bio has been in the cloud for a long time. Bio-science was one of the earliest cloud adopters -- the data set size and algorithm complexity required for bio-research, coupled with the intermittent need to use these resources has always made a business case for resource sharing in bio research.  Bio-science may be moving into a more social and more integrated cloud, but bio-research was made possible on distributed computing systems, the precursors to today's "cloud."


Mary Jander
Thinkernetter
Wednesday April 25, 2012 5:57:22 PM
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Thank you for this news of a very interesting cloud development, Joe. I'm reminded that some observers think cloud services will be key to the future of scientific research. It's cheaper than creating an on-site infrastructure, and the data sharing is invaluable.

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