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Issues in Omics Data Integration for Gene Set Analysis and Aberrant Pathway Identification
Author(s) -
Ochs Michael F.
Publication year - 2012
Publication title -
drug development research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.582
H-Index - 60
eISSN - 1098-2299
pISSN - 0272-4391
DOI - 10.1002/ddr.21046
Subject(s) - computational biology , identification (biology) , pathway analysis , omics , biological pathway , dna microarray , biology , bioinformatics , data science , gene , genetics , computer science , gene expression , botany
Preclinical ResearchThe impact of omics technologies, from microarrays to next‐generation sequencing, on drug development has been limited by our inability to integrate the data meaningfully for pathway analysis. Here we discuss the relationship between biomolecules and pathway activity, focusing on metabolic and signaling pathways. We discuss how each type of pathway requires a different approach to the generation of pathway statistics from omics data and provide guidance for the creation of appropriate gene sets for pathway analysis.