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Detection of aberrant gene expression events in RNA sequencing data
Vicente A. Yépez
, Christian Mertes
, Michaela F. Müller
, Daniela Klaproth-Andrade
, Leonhard Wachutka
, Laure Frésard
, Mirjana Gusic
, Ines F. Scheller
, Patricia F. Goldberg
, Holger Prokisch
,
Julien Gagneur
Informatics 29 - Chair of Computational Molecular Medicine
Technical University of Munich
University of Munich
Stanford University School of Medicine
Helmholtz Zentrum München German Research Center for Environmental Health
Partner Site Munich Heart Alliance
Research output
:
Contribution to journal
›
Article
›
peer-review
95
Scopus citations
Overview
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Keyphrases
RNA Sequencing (RNA-seq)
100%
RNA-sequencing Data
100%
Aberrant Gene Expression
100%
Quality Control
33%
Disease Genes
33%
Disease Entity
33%
Human Genetics
33%
Statistical Methods
33%
Parallel Computing
33%
Expression Level
33%
Computing Infrastructure
33%
DNA Sequencing
33%
Diagnostic Ratios
33%
Control Plots
33%
Aberrant Expression
33%
RNA Detection
33%
Rare Disorders
33%
Aberrant Splicing
33%
Allele-specific Expression
33%
Computational Workflow
33%
Analysis Protocol
33%
Gene Regulatory Programs
33%
Biochemistry, Genetics and Molecular Biology
Gene Expression
100%
RNA Sequence
100%
RNA
20%
Quality Control
20%
Locus Control Region
20%
Human Genetics
20%
DNA Sequence
20%