Differential expression and functional analysis of high- throughput - Omics data using open source tools

Moritz Kebschull, Melanie Juliafittler, Ryan T. Demmer, Panos N. Papapanou

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Today, –omics analyses, including the systematic cataloging of messenger RNA and microRNA sequences or DNA methylation patterns in a cell population, organ, or tissue sample, allow for an unbiased, comprehensive genome-level analysis of complex diseases, offering a large advantage over earlier “candidate” gene or pathway analyses. A primary goal in the analysis of these high-throughput assays is the detection of those features among several thousand that differ between different groups of samples. In the context of oral biology, our group has successfully utilized –omics technology to identify key molecules and pathways in different diagnostic entities of periodontal disease.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages327-345
Number of pages19
DOIs
StatePublished - 2017

Publication series

NameMethods in Molecular Biology
Volume1537
ISSN (Print)1064-3745

Keywords

  • DNA methylation
  • Differential expression analysis
  • Functional groups
  • Gene expression
  • Gingiva
  • Microarray
  • Next-generation sequencing
  • Periodontal disease
  • Transcriptome
  • microRNA

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