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., Gallant, Andrew, Peng, Jian, Cowen, Lenore J., Baym, Michael Hartmann, Berger Leighton, Bonnie
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Oxford University Press 2016
Online Access:http://hdl.handle.net/1721.1/104045
https://orcid.org/0000-0003-1303-5598
https://orcid.org/0000-0002-2724-7228