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Agents in Bioinformatics

Agents in Bioinformatics
Agents in Bioinformatics
The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire collaboration between the agent and bioinformatics communities with the aim of creating an opportunity to propose a different (agent-based) approach to the development of computational frameworks both for data analysis in bioinformatics and for system modelling in computational biology. During the day, the participants examined the future of research on agents in bioinformatics primarily through 12 invited talks selected to cover the most relevant topics. From the discussions, it became clear that there are many perspectives to the field, ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages for use by information agents, and to the use of Grid agents, each of which requires further exploration. The interactions between participants encouraged the development of applications that describe a way of creating agent-based simulation models of biological systems, starting from an hypothesis and inferring new knowledge (or relations) by mining and analysing the huge amount of public biological data. In this report we summarise and reflect on the presentations and discussions.
117-125
Luck, M
a1457127-1c37-42d3-95a1-0cdef830f611
Merelli, E
536d270e-c934-4d71-89c5-4afb1ab1f8d8
Luck, M
a1457127-1c37-42d3-95a1-0cdef830f611
Merelli, E
536d270e-c934-4d71-89c5-4afb1ab1f8d8

Luck, M and Merelli, E (2005) Agents in Bioinformatics. Knowledge Engineering Review, 20 (2), 117-125.

Record type: Article

Abstract

The scope of the Technical Forum Group (TFG) on Agents in Bioinformatics (BIOAGENTS) was to inspire collaboration between the agent and bioinformatics communities with the aim of creating an opportunity to propose a different (agent-based) approach to the development of computational frameworks both for data analysis in bioinformatics and for system modelling in computational biology. During the day, the participants examined the future of research on agents in bioinformatics primarily through 12 invited talks selected to cover the most relevant topics. From the discussions, it became clear that there are many perspectives to the field, ranging from bio-conceptual languages for agent-based simulation, to the definition of bio-ontology-based declarative languages for use by information agents, and to the use of Grid agents, each of which requires further exploration. The interactions between participants encouraged the development of applications that describe a way of creating agent-based simulation models of biological systems, starting from an hypothesis and inferring new knowledge (or relations) by mining and analysing the huge amount of public biological data. In this report we summarise and reflect on the presentations and discussions.

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Published date: 2005
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 261966
URI: http://eprints.soton.ac.uk/id/eprint/261966
PURE UUID: 279a2743-a601-481b-aaa7-3a6ff58f4cc5

Catalogue record

Date deposited: 14 Feb 2006
Last modified: 14 Mar 2024 07:02

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Contributors

Author: M Luck
Author: E Merelli

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