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

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

Producción científica

7 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Título de la publicación alojadaMethods in Molecular Biology
EditorialHumana Press Inc.
Páginas327-345
Número de páginas19
DOI
EstadoPublished - 2017

Serie de la publicación

NombreMethods in Molecular Biology
Volumen1537
ISSN (versión impresa)1064-3745

Financiación

FinanciadoresNúmero del financiador
National Institute of Dental and Craniofacial ResearchR03DE024735

    ASJC Scopus Subject Areas

    • Molecular Biology
    • Genetics

    Huella

    Profundice en los temas de investigación de 'Differential expression and functional analysis of high- throughput - Omics data using open source tools'. En conjunto forman una huella única.

    Citar esto