Reference : Addressing Technical Replicate Variance in Omics Data Analysis
Scientific congresses, symposiums and conference proceedings : Poster
Life sciences : Biotechnology
Human health sciences : Multidisciplinary, general & others
Addressing Technical Replicate Variance in Omics Data Analysis
Glaab, Enrico mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Schneider, Reinhard mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Benelux Bioinformatics Conference 2014
from 08-12-2014 to 09-12-2014
[en] omics ; proteomics ; transcriptomics ; technical replicates ; statistical analysis ; microarray ; differential analysis ; visualization ; principal component analysis
[en] High-throughput omics datasets often contain technical replicates, included to account for technical sources of noise in the measurement process. Although summarizing these replicate measurements by using robust averages may help to reduce the influence of noise on downstream data analysis, the information on the variance across the replicate measurements is lost in the averaging process and therefore typically disregarded in subsequent
statistical analyses. We introduce RepExplore, a web-service dedicated to exploit the information captured in the technical replicate variance to provide more reliable and informative differential expression and abundance statistics for omics datasets. The software builds on previously published statistical methods, which have been applied successfully to biomedical omics data but are difficult to use without prior experience in programming or scripting. RepExplore facilitates the analysis by providing a fully automated data processing and interactive ranking tables, whisker plot, heat map and principal component analysis visualizations to interpret omics data and derived statistics. The web-based software is freely available at
Researchers ; Professionals ; Students

File(s) associated to this reference

Fulltext file(s):

Open access
repexplore_poster.pdfPublisher postprint972.07 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.