TY  - THES
T1  - Novel approaches to the integration and analysis of systems biology data
A1  - Ramírez,Fidel
Y1  - 2012/05/11
N2  - The opportunity to investigate whole cellular systems using experimental and computational high-throughput methods leads to the generation of unprecedented amounts of data. Processing of these data often results in large lists of genes or proteins that need to be analyzed and interpreted in the context of all other biological information that is already available. To support such analyses, repositories aggregating and merging the biological information contained in different databases are required.

To address this need, we created an integrative data warehouse containing millions of up-to-date annotations related to human genes and proteins from over thirty major molecular biology databases. In particular, this data warehouse was instrumental in assessing the data quality of human protein interactions and in predicting an important, but largely unidentified, group of proteins that function as molecular scaffolds in the formation of signaling cascades. Additionally, the data warehouse enabled us to devise the novel computational method BioSim for the discovery of biological relationships based on the functional similarity of gene and protein annotations. Furthermore, we showed how this method allows identifying disease-associated genes.

To facilitate the analysis and interpretation of large lists of genes or proteins derived from high-throughput methods, we built the new web portal BioMyn. It provides a powerful search engine with public access to the data warehouse and the BioSim method. BioMyn also offers a number of useful tools for own functional enrichment analysis and the visualization of the results.
KW  - Systembiologie, Bioinformatik
KW  - Wissensextraktion, Proteine
KW  - High throughput screening
CY  - Saarbrücken
PB  - Universitäts- und Landesbibliothek
AD  - Postfach 151141, 66041 Saarbrücken
UR  - http://scidok.sulb.uni-saarland.de/volltexte/2012/4855
ER  -