The University of Southampton
University of Southampton Institutional Repository

Agent-Oriented Data Curation in Bioinformatics

Miles, Simon (2006) Agent-Oriented Data Curation in Bioinformatics Multi-Agent and Grid Systems

Record type: Article

Abstract

The practitioners of bioinformatics require increasing sophistication from their software tools to take into account the particular characteristics that make their domain complex. For example, there is a great variation of experience of researchers, from novices who would like guidance from experts in the best resources to use to experts that wish to take greater management control of the tools used in their experiments. Also, the range of available, and conflicting, data formats is growing and there is a desire to automate the many trivial manual stages of in-silico experiments. Agent-oriented software development is one approach to tackling the design of complex applications. In this paper, we argue that, in fact, agent-oriented development is a particularly well-suited approach to developing bioinformatics tools that take into account the wider domain characteristics. To illustrate this, we design a data curation tool, which manages the format of experimental data, extend it to better account for the extra requirements placed by the domain characteristics, and show how the characteristics lead to a system well suited to an agent-oriented view.

PDF miles06mags.pdf - Other
Download (169kB)

More information

Published date: 2006
Keywords: agents bioinformatics provenance curation software engineering
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 262565
URI: http://eprints.soton.ac.uk/id/eprint/262565
PURE UUID: dbae08b4-c1cb-43a8-aa48-db5d4e24b8eb

Catalogue record

Date deposited: 12 May 2006
Last modified: 18 Jul 2017 08:50

Export record

Contributors

Author: Simon Miles

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×