Updated on 11 October 2013
The Network Verification Challenge initiative will lead to devlopment of models that will represent the current status of scientific knowledge as related to a given set of networks
Singapore: Network Verification Challenge, an initiative that provides scientists with a powerful new methodology for defining and verifying biological networks, has opened for submissions from the global scientific community.
The 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 the Fraunhofer Institute for Algorithms and Scientific Computing 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 which has a number of implications, 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 (systems biology verification: Industrial Methodology for PROcess VErification in Research), 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. Within this framework, it also provides an approach for the verification of systems biology data and thus contributes in a variety of ways to improvements in human healthcare and other scientific and industrial areas.