Ioanna Tsotra
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Ioanna Tsotra has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Apostolos Malatras
Biobank.cy Centre of Excellence in Biobanking and Biomedical Research, University of Cyprus, 2029 Nicosia, Cyprus
1 shared publication - Georgia Saxami
Department of Nutrition and Dietetics, Harokopio University, 17671 Athens, Greece
1 shared publication - Ioannis Michalopoulos
Centre of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
1 shared publication - Konstantinos Papadopoulos
Center of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
1 shared publication - Vasileios L. Zogopoulos
Center of Systems Biology, Biomedical Research Foundation, Academy of Athens, 11527 Athens, Greece
1 shared publication - Vassiliki A. Iconomidou
Section of Cell Biology and Biophysics, Department of Biology, School of Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15701 Athens, Greece
1 shared publication
Latest Publications
- Open Access
Approaches in Gene Coexpression Analysis in Eukaryotes
Gene coexpression analysis constitutes a widely used practice for gene partner identification and gene function prediction, consisting of many intricate procedures. The analysis begins with the collection of primary transcriptomic data and their preprocessing, continues with the calculation of the similarity between genes based on their expression values in the selected sample dataset and results in the construction and visualisation of a gene coexpression network (GCN) and its evaluation using biological term enrichment analysis. As gene coexpression analysis has been studied extensively, we present most parts of the methodology in a clear manner and the reasoning behind the selection of some of the techniques. In this review, we offer a comprehensive and comprehensible account of the steps required for performing a complete gene coexpression analysis in eukaryotic organisms. We comment on the use of RNA-Seq vs. microarrays, as well as the best practices for GCN construction. Furthermore, we recount the most popular webtools and standalone applications performing gene coexpression analysis, with details on their methods, features and outputs.
Open AccessApproaches in Gene Coexpression Analysis in Eukaryotes
Gene coexpression analysis constitutes a widely used practice for gene partner identification and gene function prediction, consisting of many intricate procedures. The analysis begins with the collection of primary transcriptomic data and their preprocessing, continues with the calculation of the similarity between genes based on their expression values in the selected sample dataset and results in the construction and visualisation of a gene coexpression network (GCN) and its evaluation using biological term enrichment analysis. As gene coexpression analysis has been studied extensively, we present most parts of the methodology in a clear manner and the reasoning behind the selection of some of the techniques. In this review, we offer a comprehensive and comprehensible account of the steps required for performing a complete gene coexpression analysis in eukaryotic organisms. We comment on the use of RNA-Seq vs. microarrays, as well as the best practices for GCN construction. Furthermore, we recount the most popular webtools and standalone applications performing gene coexpression analysis, with details on their methods, features and outputs.