So now, rather than buying and maintaining their own computer systems, researchers may simply be able to rent computer time at a fraction of the cost. But there are a few obstacles to overcome before Cloud Computing becomes a reality for genetic analysts.
"The first question is how to best split up the process of DNA sequence analysis to fit these computer clusters," Pop said. "The second is whether or not the benefits of cloud computing outweigh the costs of data transfer and storage."
The massive amounts of data generated by just one genome may take a significant amount of time to transfer over the internet. This, in addition to the data storage needed before analysis, might add costs that outweigh the benefits of using a remote computer cluster.
"Even if the analysis doesn't take long, the transfer may take forever and cost too much to make whole thing worthwhile," said Pop.
A Different Kind of Puzzle
DNA is made up of nucleotide bases that are abbreviated by the letters A, C, G, and T. Lined up in a double helix structure, they make up a code that is translated into the proteins that run our body processes. New technology can read this code and compare the genetic makeup of species and organisms.
However, the sequencing process cannot handle a whole genome at once. The DNA strands have to be chopped into small pieces, sequenced, and then those sequences have to be put back together again. Putting the pieces back together is what requires so much computing power.
There are two ways to put the pieces back together. If a reference genome is available from the same species, scientists can use the reference as a guide for piecing together the new sequence. However, if a reference is unavailable, the scientist faces the more difficult task of determining all possible combinations of the loosely fitting pieces and finding the best
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| Contact: Lee Tune ltune@umd.edu 301-405-4679 University of Maryland Source:Eurekalert |