Genedata specializes in discovery informatics for biotech, pharmaceuticals and the life sciences. The Company offers expertise in research informatics combined with open and scalable computational solutions. Our solutions include Genedata Phylosopher® for integrating, structuring, and analyzing research data. Genedata Screener® for high throughput screening analysis. And Genedata Expressionist® for omics data integration, processing and analysis. Founded in 1997 as a privately held spin off from Novartis, Genedata is headquartered in Basel, Switzerland and has professional service points in Boston (USA), San Francisco (USA), Tokyo (Japan) and Munich (Germany). The Company is also represented in Taiwan and Singapore. For more information about Genedata, please visit: www.genedata.com.

Genedata is the main contributor of the INCA projects central bioinformatics infrastructure. As such we provide data analysis of microarray and siRNA screening data and thus contribute directly to several of the individual sub-projects. In addition, Genedata is training the consortium partners in aspects of statistical analysis of high throughput experiment data.

Discovering antibiotic efficacy biomarkers: toward mechanism-specific high content compound screening Freiberg C, Brunner N, Macko L, Fischer HP Mol Cell Proteomics. 2006 Dec;5(12):2326-35; Epub 2006 Aug 29. Reporter metabolite analysis of transcriptional profiles of a Staphylococcus aureus strain with normal phenotype and its isogenic hemB mutant displaying the small colony variant phenotype Jochen Seggewiss, Karsten Becker, Oliver Kotte, Martin Eisenacher, Mohammad Reza Khoschkhoi Yazdi, Andreas Fischer, Peter McNamara, Nahed Al Laham, Richard Proctor, Georg Peters, Matthias Heinemann, and Christof von Eiff J. Bacteriol., Sep 2006; 10.1128/JB.00774-06 Protein expression pattern distinguishes different lymphoid neoplasms. Fujii K, Kondo T, Yokoo H, Yamada T, Matsuno Y, Iwatsuki K, Hirohashi S. Proteomics. 2005 Nov;5(16):4274-86. Discovering the mechanism of action of novel antibacterial agents through transcriptional profiling of conditional mutants. Freiberg C, Fischer HP, Brunner NA. Antimicrob Agents Chemother. 2005 Feb;49(2):749-59 From Targets to Leads: The importance of advanced data analysis for decision support in drug discovery Hans Peter Fischer, Stephan Heyse Current Opinion in Drug Discovery & Development Vol. 8, No. 3, 2005, pp. 334 - 336