Agents in bioinformatics, computational and systems biology

Merelli, Emanuela; Armano, Giuliano; Cannata, Nicola; Corradini, Flavio; d'Inverno, Mark; Doms, Andreas; Lord, Phillip; Martin, Andrew; Milanesi, Luciano; Möller, Steffen; Schroeder, Michael and Luck, Michael. 2007. Agents in bioinformatics, computational and systems biology. Briefings in Bioinformatics, 8(1), pp. 45-59. ISSN 1467-5463 [Article]

[img]
Preview
Text (Agents in bioinformatics, computational and systems biology)
Agents in bioinformatics, computational and systems biology.pdf - Published Version

Download (295kB) | Preview

Abstract or Description

The adoption of agent technologies and multi-agent systems constitutes an emerging area in bioinformatics. In this
article, we report on the activity of the Working Group on Agents in Bioinformatics (BIOAGENTS) founded during
the first AgentLink III Technical Forum meeting on the 2nd of July, 2004, in Rome. The meeting provided an
opportunity for seeding collaborations between the agent and bioinformatics communities to develop a different
(agent-based) approach of computational frameworks both for data analysis and management in bioinformatics and
for systems modelling and simulation in computational and systems biology.The collaborations gave rise to applica-
tions and integrated tools that we summarize and discuss in context of the state of the art in this area.
We investigate on future challenges and argue that the field should still be explored from many perspectives ranging
from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative
languages to be used by information agents, and to the adoption of agents for computational grids

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1093/bib/bbl014

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
2007Published

Item ID:

8759

Date Deposited:

19 Sep 2013 14:57

Last Modified:

29 Apr 2020 15:57

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

https://research.gold.ac.uk/id/eprint/8759

View statistics for this item...

Edit Record Edit Record (login required)