In today’s big-data era, the exponential growth of information observed due to the latest advances of high-throughput technologies has been indisputable. Therefore, it is necessary for the scientific community to devise efficient algorithms and tools for the extraction, analysis, exploration, and representation of biological information. 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 and additional complexity. Additionally, researchers should look to design new datasets or databases which integrate information from a variety of different sources. Submissions are encouraged from across the entire spectrum of life and biomedical sciences.
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Borbolis, F., Ranti, D., Papadopoulou, M.D., Dimopoulou, S., Malatras, A., Michalopoulos, I., and Syntichaki, P. (2023). Selective Destabilization of Transcripts by mRNA Decapping Regulates Oocyte Maturation and Innate Immunity Gene Expression during Ageing in C. elegans. Biology 12, 171.
Angelopoulou, E., Bozi, M., Simitsi, A.M., Koros, C., Antonelou, R., Papagiannakis, N., Maniati, M., Poula, D., Stamelou, M., Vassilatis, D.K., Michalopoulos, I., Geronikolou, S., Scarmeas, N., and Stefanis, L. (2022). Clinical differences between early-onset and mid-and-late-onset Parkinson’s disease: Data analysis of the Hellenic Biobank of Parkinson’s disease. J Neurol Sci 442, 120405.
Barba, E., Kontou, P. I., Michalopoulos, I., Bagos, P. G., and Braliou, G. G. (2022). Association of ITPA gene polymorphisms with adverse effects of AZA/6-MP administration: a systematic review and meta-analysis. Pharmacogenomics J 22, 39–54.