Information quality in proteomics

Information quality in proteomics

Proteomics, the study of the protein complement of a biological system, is generating increasing quantities of data from rapidly developing technologies employed in a variety of different experimental workflows. Experimental processes, e.g. for comparative 2D gel studies or LC-MS/MS analyses of complex protein mixtures, involve a number of steps: from experimental design, through wet and dry la...

Managing Information Quality in e-Science: A Case Study in Proteomics

We describe a new approach to managing information quality (IQ) in an e-Science context, by allowing scientists to define the quality characteristics that are of importance in their particular domain. These preferences are specified and classified in relation to a formal IQ ontology, intended to support the discovery and reuse of scientists’ quality descriptors and metrics. In this paper, we pr...

Information Quality Information Quality in Mashups Information Quality in Mashups Quality and Mashup Development

30 Published by the IEEE Computer Society 1089-7801/10/$26.00 © 2010 IEEE IEEE INTERNET COMPUTING M ashups are applications developed by integrating content and functionality sourced from the Web. Although in most cases, enthusiastic programmers hand write them, the recent emergence of so-called mashup tools or mashup platforms, such as Yahoo Pipes (http://pipes.yahoo.com), Dapper (www.dapper.n...

Proteomics Quality Control: Quality Control Software for MaxQuant Results.

Mass spectrometry-based proteomics coupled to liquid chromatography has matured into an automatized, high-throughput technology, producing data on the scale of multiple gigabytes per instrument per day. Consequently, an automated quality control (QC) and quality analysis (QA) capable of detecting measurement bias, verifying consistency, and avoiding propagation of error is paramount for instrum...

Proteomics Quality Control – A Quality Control Software for MaxQuant Results