To gain the greatest benefit from systems toxicology, scientists need to integrate toxicogenomic data with conventional toxicological end points. This integration enables a systematic search for clinically relevant molecular biomarkers that can be used to predict a compound’s toxicity profile, before expensive clinical trials are initiated.
ToxPedia supports a data driven approach to systems toxicology. The system enables biomarker identification based on an integrated analysis of toxicogenomic data, namely of high throughput transcriptomics, proteomics and metabolomics data, with conventional toxicological end points. The ToxPedia system is built on the well established Genedata Expressionist platform and has been expanded by Genedata’s professional services team in close collaboration with scientists from leading pharmaceutical organizations.
The system is designed to address the specific requirements of systems toxicology. Tight integration with all major high throughput technology platforms, coupled with sophisticated data quality assessment tools, enables ToxPedia to achieve the highest standards in data quality evaluation. Ultimately, the goal is that ToxPedia supports the standardization and automation of the entire systems toxicology workflow from the initial sample gathering stage through to final study reporting phases, and addresses compliancy aims such as 21 CFR Part 11 guidelines.
Genedata also collaborates actively with research consortia focused on biomarker discovery, including the consortia InnoMed, NewGeneris, and INCA.
tobe freeman | alfa
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Researchers from the Institute for Quantum Computing (IQC) at the University of Waterloo led the development of a new extensible wiring technique capable of controlling superconducting quantum bits, representing a significant step towards to the realization of a scalable quantum computer.
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