Accepted_test

InterTransViewer: a comparative analysis of differential gene expression profiles
by Aleksandr Tyapkin | Nadya Omelyanchuk | Viktoriya Lavrekha | Elena Zemlyanskaya | Institute of Cytology and Genetics SB RAS | Institute of Cytology and Genetics SB RAS | Institute of Cytology and Genetics SB RAS | Institute of Cytology and Genetics SB RAS
Abstract ID: 721
Event: BGRS-abstracts
Sections: [Sym 6] Section “Developmental biology of plants: computational and experimental approaches”

Meta-analysis of transcriptomic data from different experiments has become increasingly prevalent due to a significantly increasing number of genome-wide experiments investigating gene expression changes under various conditions. Data integration provides greater accuracy of statistic estimates and allows testing new hypotheses, which could not be validated in individual studies. To make data integration more informative, it is necessary to optimize the selection of experiments for the analysis. Here, we offer a set of quantitative indicators for a comprehensive comparative description of transcriptomic data, which can be easily visualized and interpreted. For automatic calculation and visualization of these indicators, we have developed an InterTransViewer program. We have used InterTransViewer to comparatively describe 23 auxin- and 16 ethylene-induced transcriptomes in Arabidopsis thaliana L. We have demonstrated that complex analysis of the proposed indicators helps to decide whether these data are appropriate for meta-analysis.