Biospectrum Asia, 11.10.2013
»Singapore: Network Verification Challenge [...] uses a crowd-verification process to fine-tune and verify sophisticated biological networks. The resulting models represent the current status of scientific knowledge as related to a given set of networks, and provide a framework by which other biological networks can be visualized, expanded and verified.
“The Network Verification Challenge is uniquely placed to help us generate accurate, comprehensive and reliable models of biological networks,” said Professor Martin Hofmann-Apitius, head, department of bioinformatics at Fraunhofer SCAI, which developed part of the online platform that Challenge participants use to work on the networks. He further said, “This is an exciting new approach to network verification [...], including the potential to provide an accelerated mechanism for the dissemination and validation of scientific knowledge, better maps of disease and improvements to therapeutic discovery and development.”
The Challenge is part of the sbv Improver project [...], a collaborative initiative by IBM Research and Philip Morris International R&D, which is designed to develop a robust, transparent and practical process for assessing complex scientific data.«