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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Functional Analysis of OMICs Data and Small Molecule Compounds in an Integrated "Knowledge-Based" Platform.

Alexey Dubovenko1, Yuri Nikolsky2,3, Eugene Rakhmatulin4

  • 1Clarivate Analytics, 1500 Spring Garden Street, Fourth Floor, Philadelphia, PA, 19130, USA. dubovenko.aleksey@gmail.com.

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|August 30, 2017
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Summary

Analyzing complex omics data requires a robust knowledgebase. MetaCore and Key Pathway Advisor (KPA) offer an integrated platform with comprehensive databases and analytical tools for functional data analysis.

Keywords:
Biological networksCausal reasoningFunctional analysisInteractomePathway analysisSignaling and metabolic networksSystems biology“Knowledge-based” platform

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • High-throughput omics data analysis is complicated by biological complexity and noise.
  • A high-fidelity, annotated knowledgebase is crucial for accurate analysis of omics data.
  • Computer-readable formats and integrated software tools are needed for data management, analysis, and reporting.

Purpose of the Study:

  • To present MetaCore and Key Pathway Advisor (KPA) as an integrated platform for functional omics data analysis.
  • To highlight the comprehensive content and analytical toolkit of the MetaCore and KPA platform.
  • To demonstrate the applications of MetaCore and KPA in various research and clinical settings.

Main Methods:

  • Utilizing a comprehensive database of molecular interactions, pathways, network models, and functional ontologies.
  • Employing analytical tools for gene/protein list enrichment, statistical interactome analysis, and biological network analysis.
  • Leveraging Advanced Search for combinatorial database queries and Pathway Map Creator for custom pathway visualization.

Main Results:

  • MetaCore and KPA provide a structured knowledgebase covering human, mouse, and rat genes.
  • The platform includes tools for enrichment analysis, interactome identification, and network analysis.
  • Advanced Search and Pathway Map Creator enhance data exploration and visualization capabilities.

Conclusions:

  • MetaCore and KPA offer an integrated solution for the challenges of high-throughput omics data analysis.
  • The platform supports diverse applications including disease research, biomarker discovery, and personalized medicine.
  • This integrated platform facilitates hypothesis generation and the analysis of complex biological effects.