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

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

doi:10.1007/978-1-4939-6685-1_19

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

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

Epidemiology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

7 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 language	English (US)
Title of host publication	Methods in Molecular Biology
Publisher	Humana Press Inc.
Pages	327-345
Number of pages	19
DOIs	https://doi.org/10.1007/978-1-4939-6685-1_19
State	Published - 2017

Publication series

Name	Methods in Molecular Biology
Volume	1537
ISSN (Print)	1064-3745

Bibliographical note

Publisher Copyright:
© Springer Science+Business Media LLC 2017.

Keywords

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

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10.1007/978-1-4939-6685-1_19

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554642

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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.",

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KW - Transcriptome

KW - microRNA

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

Abstract

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Keywords

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