Shirima, C.A., Bleotu, C., Spandidos, D.A., El-Naggar, A.K., Gradisteanu Pircalabioru, G., and Michalopoulos, I. (2024). Epithelial-derived head and neck squamous tumourigenesis (Review). Oncol Rep 52, 141.
Christodoulou, A., Katsarou, M.S., Emmanouil, C., Gavrielatos, M., Georgiou, D., Tsolakou, A., Papasavva, M., Economou, V., Nanou, V., Nikolopoulos, I., Daganou, M., Argyraki, A., Stefanidis, E., Metaxas, G., Panagiotou, E., Michalopoulos, I., and Drakoulis, N. (2024). A Machine Learning-Based Web Tool for the Severity Prediction of COVID-19. BioTech 13, 22.
Baltzi, E., Papaloukas, C., Spandidos, D.A., and Michalopoulos, I. (2024). Genes encoding γ‑glutamyl‑transpeptidases in the allicin biosynthetic pathway in garlic (Allium sativum). Biomed Rep 20, 45.
Malatesta, P., Kyriakidis, K., Hada, M., Ikeda, H., Takahashi, A., Saganti, P.B., Georgakilas, A.G., and Michalopoulos, I. (2024). Differential Gene Expression in Human Fibroblasts Simultaneously Exposed to Ionizing Radiation and Simulated Microgravity. Biomolecules 14, 88.
Pagoni, M., Cava, C., Sideris, D.C., Avgeris, M., Zoumpourlis, V., Michalopoulos, I., and Drakoulis N. (2023). miRNA-Based Technologies in Cancer Therapy. J Pers Med 13, 1586.
Zogopoulos, V.L., Malatras, A., and Michalopoulos, I. (2023). Special Issue on Differential Gene Expression and Coexpression. Biology 12, 1226.
Kalogirou, E.M., Lekakis, G., Petroulias, A., Chavdoulas, K., Zogopoulos, V.L., Michalopoulos, I., and Tosios, K.I. (2023). The Stem Cell Expression Profile of Odontogenic Tumors and Cysts: A Systematic Review and Meta-Analysis. Genes 14, 1735.
Dr Ioannis Michalopoulos and Dr Apostolos Malatras are Guest Editors of Special Issue “Differential Gene Expression and Coexpression 2.0” of Biology (Impact Factor 3.6, JCR category rank: Q1: Biology). Deadline for manuscript submissions: 30 June 2024.
The most common approach in transcriptomics (RNA-seq and microarrays) is differential gene expression analysis. Genes identified as differentially expressed may be responsible for phenotype differences between various biological conditions. An alternative approach is gene co-expression analysis, which detects groups of genes with similar expression patterns across unrelated sets of transcriptomic data from the same organism. Co-expressed genes tend to be involved in similar biological processes. This Special Issue will include reviews and research articles on the topic of differential gene expression and coexpression. The reviews will provide an overview of the methods available for transcriptomic analysis, while the research articles will provide an in-depth description of each state-of-the-art tool. Please send me an abstract prior to submission to make sure that your work falls within the scope of this Special Issue.
Dr. Ioannis Michalopoulos and Dr. Georgios A. Pavlopoulos are editors to “Advances in Bioinformatics and Computational Biology of Human Disease” topic
Abstract submission deadline
31 October 2023
Manuscript submission deadline
31 December 2023
In today’s big-data era, the exponential growth of information due to the latest advancements in high-throughput technologies is indisputable. Therefore, efficient algorithms and tools for the extraction, analysis, exploration, and representation of biological information are necessary. In this regard, we invite investigators to contribute original bioinformatics research and review articles describing novel methods, algorithms, software applications, web services, and workflows that are able to cope with larger datasets, complexity, and new datasets or databases which integrate information from different sources. Submissions across the entire spectrum of life and biomedical sciences are welcomed.
Zogopoulos, V.L., Malatras, A., Kyriakidis, K., Charalampous, C., Makrygianni, E.A., Duguez, S., Koutsi, M.A., Pouliou, M., Vasileiou, C., Duddy, W.J., Agelopoulos, M., Chrousos, G.P., Iconomidou, V.A., and Michalopoulos, I. (2023). HGCA2.0: An RNA-Seq Based Webtool for Gene Coexpression Analysis in Homo sapiens. Cells 12, 388.