Vi-BIO
Visual Intelligence for Biology
KnowEnG: Knowledge Engine for Genomics
KnowEnG Home Screen
KnowEnG: Select a Pipeline
KnowEnG: Data Selection Options
Gene Set Characterization Knowledge Network Parameters Settings
KnowEnG: Knowledge Network Parameter Settings
Sample Clustering Results & Phenotype Visualization3
Gene Set Characterization Results Visualization
COLLABORATORS
NIH Funded BD2K Center of Excellence
Saurabh Sinha, PhD., University of Illinois at Urbana-Champaign
PROJECT DATES
Oct 2014 - Apr 2018
KnowEnG (“Knowledge Engine for Genomics” pronounced "knowing") Center of Excellence in Big Data Computing project is part of the NIH BD2K initiative. In this large multi-year project the Visual Analytics Group is responsible for designing and implementing the visualization and user interface, and collaborating on the engineering and design of the system architecture.
KnowEnG is a framework for biomedical scientists to access state of the art cloud-based data mining, network mining, and machine learning tools to analyze their data in the context of a massive knowledge base of community datasets. The KnowEnG analytics toolkit provides workflows that are easy to use and present complex results in clear, meaningful ways - all in an effort to empower scientists to extract the most useful insights from their experimental data. One example workflow is the Gene Set Characterization pipeline. In this interactive visualization, we support the fluid study of important genes, allowing the researcher to see how their genes “scored” against published/known information about their genes.
For more information, visit the KnowEnG Website.
VI-BIO - Visual Intelligence for Biology
NCSA | UNIVERSITY OF ILLINOIS
CONTACT: cbushell@illinois.edu