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单词 biocomputing
释义

biocomputingn.

Brit. /ˌbʌɪə(ʊ)kəmˈpjuːtɪŋ/, U.S. /ˌbaɪoʊkəmˈpjudɪŋ/
Origin: Formed within English, by compounding. Etymons: bio- comb. form, computing n.
Etymology: < bio- comb. form + computing n. In sense 2, probably influenced by biocomputer n.
1. The field of study concerned with the use of computer technology in biological research, esp. in the analysis of statistical data and molecular structures, or in the modelling of biological processes.
ΚΠ
1965 Nat. Sci. Found.: 15th Ann. Rep. 14 A grant to the University of California at Davis provides for a laboratory in advanced biocomputing programming techniques.
1977 Science 2 Dec. 963/2 (advt.) Aquatic ecologist... Working knowledge of biostatistics and biocomputing considered most valuable.
1993 Bioinformatics 9 581 A unix program, hybrow, which can integrate without modification a wide range of unix biocomputing and network information retrieval software.
2000 Nature 13 Jan. 119/3 A biocomputing expert..estimates that the [genome] sequencing output of Celera and the public project are running neck and neck.
2. The branch of computing concerned with the application of biological molecules, organisms, processes, or structures to computer technology. Also: the emulation of (aspects of) neural and cerebral function using computer technology; the use of electronic devices to directly interface with or stimulate neural structures.
ΚΠ
1986 New Scientist 31 July 25 One possible application is in biocomputing because the bacterium can remain active in the presence of high salinity, whereas a normal cell would be too fragile for such an environment.
1989 Austral. Personal Computer 20 Nov. 12/3 While neural networks mimic brain activity in computers, biocomputing attempts to electronically duplicate the actual structure of the brain.
1995 Computerworld (Nexis) 7 Aug. 83 Since AI never really met the hype promised for it 10 years ago, most biocomputing proponents are taking an understandably guarded approach before touting their successes.
2007 Times Higher Educ. Suppl. (Nexis) 2 Feb. 26 He was one of the first people to realise the power of biocomputing by solving a simple Hamiltonian path problem of connecting four cities using a clever encoding of it on to strands of DNA.
This entry has been updated (OED Third Edition, November 2010; most recently modified version published online December 2021).
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