Compressive genomics for protein databases

Motivation: The exponential growth of protein sequence databases has increasingly made the fundamental question of searching for homologs a computational bottleneck. The amount of unique data, however, is not growing nearly as fast; we can exploit this fact to greatly accelerate homology search. Acc...

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Bibliographic Details
Main Authors: Daniels, Noah M. (Author), Gallant, Andrew (Author), Peng, Jian (Contributor), Cowen, Lenore J. (Author), Baym, Michael Hartmann (Contributor), Berger Leighton, Bonnie (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: Oxford University Press, 2016-08-26T18:03:39Z.
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