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Network Verification Challenge
A Reputation-Based Crowd-Sourced Peer Review Platform for Network Biology
William Hayes, PhD, Selventa Anselmo DiFabio, ADS
Network Verification Challenge
The sbv IMPROVER Network Verification Challenge (NVC) aims to verify and enhance existing biological network models. The NVC is expected to increase the networks' value and promote their use in research applications such as drug discovery, personalized medicine and toxicological risk assessment. !!!Sponsored by: Philip Morris International Conceived by: Manuel Peitsch,PhD & Julia Hoeng, PhD
Who are we?
William Hayes, PhD CTO, Selventa, A Systems Diagnostics Company
~
Anselmo Di Fabio CTO, ADS LLC, A Web Agency
Technical Objective• Deliver a reputation-based collaborative
network curation site for the NVC
• Attractive
• Easy to use
• Responsive
• Engaging
Challenges• Community Participation
• Reputation System
• Visualization
• Post-Event review
• BEL (Biological Expression Language)
• User expertise
BEL STATEMENTS
Term Expression Rela0onship Term Expression
a(CHEBI:corticosteroid) -| bp(NCI:”Tissue Damage”)
The abundance of molecules designated by the name
“corticosteroid” in the CHEBI namespace.
The biological process designated by the name “Tissue Damage” in
the NCI namespace.
Subject Predicate Object
decreases
Reputation-based Crowdsourcing
• Features o Reputation o Badges o Leaderboards o Activity tracking o Voting
▪ Form based
▪ Approval
▪ Penalties
• Examples o StackOverflow o Researchgate.net o Slashdot.org o Amazon o Ebay
Activity Stream (Community)
• Comprehensive listing of site activity
• Shows drill-down of voting activity
• Critical to participation
Acknowledgements
• sbv IMPROVER Team (PMI)
o Project Lead: Julia Hoeng, PhD
o Project Sponsor: Manuel Peitsch, PhD
• Selventa NVC Project Team
• ADS Dev Team
Resources• SBVImprover - http://sbvimprover.com
• NVC - http://bionet.sbvimprover.com
• BEL - http://openbel.org
• D3 - http://d3js.org
• AngularJS - http://angularjs.org
• MongoDB - http://mongodb.org
• Book: Building Web Reputation Systems - http://shop.oreilly.com/product/9780596159801.do