Navlakha, S., Bar-Joseph, Z. (January 2015) Distributed information processing in biological and computational systems. Communications of the ACM, 58 (1). pp. 94-102. ISSN 00010782 (ISSN)
Abstract
BIOLOGICAL SYSTEMS, RANGING from the molecular to the cellular to the organism level, are distributed and in most cases operate without central control. The key for successful studies at the intersection of distributed computing and biology is to identify problems in which similar constraints and goals may apply to both systems. Networks provide one of many popular abstractions that have been immensely useful in understanding large, distributed systems. Information processing in biology is also often based on message passing. Cells secrete proteins to interact with other cells in order to activate various signaling networks. The previous models assume nodes communicate by exchanging messages. Another popular distributed communication method is the use of shared memory.
| Item Type: | Paper |
|---|---|
| Subjects: | bioinformatics > quantitative biology bioinformatics > computational biology > algorithms bioinformatics > computational biology |
| CSHL Authors: | |
| Communities: | CSHL labs > Navlakha lab |
| Depositing User: | Matthew Dunn |
| Date: | 1 January 2015 |
| Date Deposited: | 08 Nov 2019 13:50 |
| Last Modified: | 08 Nov 2019 13:50 |
| URI: | https://repository.cshl.edu/id/eprint/38695 |
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