Objective
Microarray-based functional genomics technology suffers from a lack of standards and a severe fragmentation. We aim to establish and disseminate quality metrics, microarray standards and best laboratory practices (quality assurance and quality control) thoughout the European microarray community. We will analyse quality control metrics on existing microarray data, and add Normalisation and Transformation ontology to MGED to allow a structured recording of data pre-processing. European efforts to assess the merits of hybridisation standards for QC will be coordinated, and procedures to certify selected standards as European Reference Material will be set in motion. We will unite the different microarray technology stakeholders in a series of topical workshops to address the development and implementation of QA/QC in research, service, diagnostics, data pre-processing and archiving, computational datamining, new technology development and its exploitation, and to acquire a wide community acceptance and government approval of 'best practices'. We will assess the spectrum of best laboratory practices (standards, protocols, procedures), and discuss how common denominators can be established to standardise QA in varous experimental settings and applications. In a pilot implementation of QA/QC we will assess the impact on data quality and coherence. A web portal at EBI will present a wide network of contacts, and serve to disseminate protocols, data sets, control material, etc. We will assist individual microarray users in their transfer to such common practices. The results and experiences from transcriptome microarray QA/QC will create a cornerstone for a systems biology based life science, and cross-fertilise and advance the maturation process of emerging applications of microarray technology. This will stimulate the generation of essential know-how and the development of technical IP that can then be absorbed by European SMEs.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesgenetics
- natural sciencescomputer and information sciencesknowledge engineeringontology
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Topic(s)
Call for proposal
FP6-2005-LIFESCIHEALTH-6
See other projects for this call
Funding Scheme
CA - Coordination actionCoordinator
TRONDHEIM
Norway