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“Network Biology Approaches to ‘Omics’ Data Analysis in Complex Diseases”

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Seminar & hands-on training

ABSTRACT: Network biology or pathway-based data analysis approaches allow the identification of networks of biological entities that may collectively define mechanisms and phenotypes, especially as they relate to disease. Herein, we applied a network biology workflow, focused on ‘omics’ data analysis, to predict novel drug-gene-disease associations in complex diseases. Our workflow included in silico approaches that integrate the analysis of disease gene signatures and powerful disease pathway analysis methodologies implemented in MetaCoreTM. Preliminary results led to the prioritization of several promising disease-tracking biomarkers and drug targets. Researchers asking similar translational biology questions, across different disciplines and therapeutic areas, can use similar approaches and take advantage of MetaCore’s powerful analysis tools to drive the discovery of clinically relevant biomarkers and drug targets.

Hands-on Training:

  • EZ and Advanced Searches for Knowledge Mining
  • Uploading Experiments & One-click Analyses
  • Compare Multiple Experiments
  • Enrichment Analysis for Uploaded Dataset(s)
  • Building Networks Around Uploaded Dataset(s)
  • Creating Pathway Maps Using “Pathway Map Creator”
  • Data Annotation & Processing Tool

Presenter: Rima Hajjo, PharmD, PhD, Solution Scientist, Discovery and Translational Science, Clarivate Analytics

Monday, April 17, 2017
1:00pm - 3:00pm
C-103, SHM, 333 Cedar St, New Haven, 06510
Medical School
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Event Organizer

Profile photo of Rolando Garcia-Milian
Rolando Garcia-Milian