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Nussbaumer, T. ; Debnath, O. ; Wagner, C.* ; Heidari, P.*

TraitCorr as a workbench for correlating gene expression measurements with phenotypic data.

Gene Rep. 19:100649 (2020)
Preprint DOI Verlagsversion bestellen
Today, high-throughput transcriptome sequencing and microarray experiments can generate enormous amounts of data to profile gene expression. This expression data often associates with phenotypic information and thus sheds light on the roles of particular traits on genes. Here, we present the user-interface TraitCorr to establish genotype-phenotype relationships and to determine genes, which correlate significantly with a selected trait, using simple correlation and regression analysis. TraitCorr also includes user-friendly visualization and export features. Furthermore, TraitCorr allows identifying genes that are shared among different traits and thus provides new aspects of gene functions which could be useful to better understand the relationship between gene products and phenotype.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Correlation ; Functional Genomics ; R Package ; Regression Analysis ; Rna-seq ; System Biology
ISSN (print) / ISBN 2452-0144
e-ISSN 2452-0144
Zeitschrift Gene Reports
Quellenangaben Band: 19, Heft: , Seiten: , Artikelnummer: 100649 Supplement: ,
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Environmental Medicine (IEM)
Institute of Network Biology (INET)