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- Title
Compressive genomics.
- Authors
Loh, Po-Ru; Baym, Michael; Berger, Bonnie
- Abstract
The article discusses the algorithms that compute directly on compressed genomic data allow analyses to keep pace with data generation. This approach reduces the task of computing on similar genomes to only slightly more than that of operating on just one. It states that although individual genomes are not very compressible, collections of related genomes are extremely compressible and this can be translated into computational acceleration by storing genomes in a compressed format.
- Subjects
GENOMICS; GENETIC databases; GENOMES; ALGORITHM research; COMPUTERS in genetics
- Publication
Nature Biotechnology, 2012, Vol 30, Issue 7, p627
- ISSN
1087-0156
- Publication type
Article
- DOI
10.1038/nbt.2241