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Bioinformatics for Omics Data

Volume 719 of the series Methods in Molecular Biology pp 547-571

Date:

Omics-Based Molecular Target and Biomarker Identification

  • Zhang-Zhi HuAffiliated withLombardi Cancer Center, Georgetown University Email author 
  • , Hongzhan HuangAffiliated withCenter for Bioinformatics & Computational Biology, University of Delaware
  • , Cathy H. WuAffiliated withCenter for Bioinformatics & Computational Biology, University of Delaware
  • , Mira JungAffiliated withLombardi Cancer Center, Georgetown University
  • , Anatoly DritschiloAffiliated withLombardi Cancer Center, Georgetown University
  • , Anna T. RiegelAffiliated withLombardi Cancer Center, Georgetown University
  • , Anton WellsteinAffiliated withLombardi Cancer Center, Georgetown University

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Abstract

Genomic, proteomic, and other omic-based approaches are now broadly used in biomedical research to facilitate the understanding of disease mechanisms and identification of molecular targets and biomarkers for therapeutic and diagnostic development. While the Omics technologies and bioinformatics tools for analyzing Omics data are rapidly advancing, the functional analysis and interpretation of the data remain challenging due to the inherent nature of the generally long workflows of Omics experiments. We adopt a strategy that emphasizes the use of curated knowledge resources coupled with expert-guided examination and interpretation of Omics data for the selection of potential molecular targets. We describe a downstream workflow and procedures for functional analysis that focus on biological pathways, from which molecular targets can be derived and proposed for experimental validation.

Key words

Proteomics Genomics Bioinformatics Biological pathways Cell signaling Databases Molecular targets Biomarkers