Title :
Towards the Management of Information Quality in Proteomics
Author :
Preece, Alun ; Jin, Binling ; Missier, Paolo ; Embury, Suzanne ; Stead, David ; Brown, Andrew
Author_Institution :
Comput. Sci., Aberdeen Univ.
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
Keywords :
biology computing; molecular biophysics; ontologies (artificial intelligence); proteins; Pedro data entry tool; hit ratio; information quality; mass coverage; ontology; proteomics; Application software; Biological cells; Biology computing; Computer science; Information management; Ontologies; Peptides; Proteins; Proteomics; Quality management;
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2517-1
DOI :
10.1109/CBMS.2006.160
