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

College of Dental Medicine

Résultat de recherche

7 Citations (Scopus)

Résumé

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.

Langue d'origine	English
Titre de la publication principale	Methods in Molecular Biology
Maison d'édition	Humana Press Inc.
Pages	327-345
Nombre de pages	19
DOI	https://doi.org/10.1007/978-1-4939-6685-1_19
Statut de publication	Published - 2017

Séries de publication

Prénom	Methods in Molecular Biology
Volume	1537
ISSN (imprimé)	1064-3745

Financement

Bailleurs de fonds	Numéro du bailleur de fonds
National Institute of Dental and Craniofacial Research	R03DE024735

ASJC Scopus Subject Areas

Molecular Biology
Genetics

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

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

Résumé

Séries de publication

Financement

ASJC Scopus Subject Areas

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