Distributed information processing in biological and computational systems

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)

URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
DOI: 10.1145/2678280


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

Actions (login required)

Administrator's edit/view item Administrator's edit/view item
CSHL HomeAbout CSHLResearchEducationNews & FeaturesCampus & Public EventsCareersGiving