Aims and Scope

The “Biological Data” journal is dedicated to advancing our understanding of biological systems through the application of computational and statistical techniques. The journal's primary aim is to provide a comprehensive platform for researchers to share innovative methods, tools, and insights that bridge the gap between biological data and meaningful interpretations. By focusing on the intersection of biology and informatics, we strive to facilitate collaboration among scientists from diverse disciplines, fostering a deeper understanding of complex biological phenomena.

The scope of “Biological Data” is broad and inclusive, encompassing a wide array of topics that reflect the dynamic and interdisciplinary nature of the field. Our journal covers key areas such as Omics (including Genomics, Transcriptomics, Proteomics, Metabolomics, and other related disciplines), which form the foundation of modern biological research. Additionally, we delve into specialized fields like Pharmacogenomics, where genetic variations are linked to drug responses, and Systems Biology, which integrates data from various biological levels to understand system behavior. The journal also explores Evolutionary Biology, examining how organisms evolve over time, and Structural Biology, which focuses on the three-dimensional structures of biological molecules.

Furthermore, “Biological Data” emphasizes the computational aspects of biology, including Computational Biology, which develops algorithms and models to analyze biological data, and Biostatistics, which applies statistical techniques to interpret biological phenomena. The journal also covers Molecular Docking, a computational method used to predict the preferred orientation of one molecule to a second when bound to each other, and Computational Medicine, which applies computational methods to improve healthcare outcomes. Lastly, we explore Network Biology, which studies the interactions and relationships within biological systems. By embracing these diverse topics, “Biological Data” aims to serve as a leading forum for advancing knowledge and innovation in the field.