Preece, Alun David  ORCID: https://orcid.org/0000-0003-0349-9057, Jin, Binling, Missier, Paolo, Embury, Suzanne, Stead, David and Brown, Al
2006.
Towards the Management of Information Quality in Proteomics.
Presented at: 19th IEEE International Symposium on Computer-Based Medical Systems: CBMS 2006,
Salt Lake City, UT, USA,
22-23 June 2006.
Published in: Lee, D. J., Nutter, B., Antani, S., Mitra, S. and Archibald, J. eds.
19th IEEE International Symposium on Computer-Based Medical Systems: CBMS 2006 - Proceedings.
Los Alamitos, CA:
IEEE,
pp. 936-940.
10.1109/CBMS.2006.160
|
Abstract
We outline the application of a framework for managing information quality (IQ) in proteomics. The approach allows scientists to define the quality characteristics that are of importance in their particular domain, by extending a generic ontology of IQ concepts. Two quality indicators are defined for proteomic experiments: hit ratio and mass coverage. We describe how our framework allows experiments marked-up in a Standardformat (e.g. PEDRo) to be annotated with these computed indicators, and how the annotations can be viewed using a convenient plugin to the commonly-used Pedro data entry tool.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Uncontrolled Keywords: | Pedro data entry tool, hit ratio, information quality, mass coverage, ontology, proteomics |
| Publisher: | IEEE |
| ISBN: | 9780769525174 |
| Related URLs: | |
| Last Modified: | 24 Oct 2022 10:53 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/46251 |
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