Genedata strengthens TcLand Expression’s research informatics
infrastructure for personalized medicine
8 April 2009
Genedata, a provider of in-silico solutions for pharmaceutical R&D
and related life sciences, has announced a collaboration with TcLand
Expression, a developer of gene expression biomarkers for autoimmune
disorders and transplantation. As part of the collaboration, the
Genedata Phylosopher and Expressionist biomarker discovery platforms
will be integrated into TcLand Expression’s computational
TcLand Expression is pioneering work in the field of personalized
medicine for transplantation and autoimmune diseases. The company is
developing gene expression signatures in collaboration with health care
professionals and patients worldwide.
The Genedata Expressionist and Phylosopher platforms will serve as a
scalable core infrastructure supporting interdisciplinary biomarker
identification, validation and mode-of-action studies.
The platform will enable TcLand Expression’s researchers to take a
cross-technology approach by using automated workflows and integrated
analysis tools to streamline the research workflow, from experimental
design through to final results.
“Genedata’s biomarker platform complements perfectly our existing
clinical and sample management systems,” commented Alessandra Cervino
DPhil, VP Biostatistics and Bioinformatics at Tcland Expression.
“Genedata’s integrated solution combines the flexibility needed in
our R&D processes with the automation, traceability and 21 CFR part 11
compliance needed in our clinical studies.”
“Genedata’s integrated solution fits in well with TcLand Expression’s
quality commitment to our R&D,” stated Alain Huriez MD, Chairman and CEO
of TcLand Expression.
"We are delighted that TcLand Expression, one of the innovators in
the area of personalized medicine, has chosen our platform to address
their computational requirements,” said Othmar Pfannes, CEO of Genedata.
“This collaboration validates our strategy of delivering scalable and
flexible research IT infrastructure solutions for biomarker discovery,
monitoring and biological interpretation.”
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