Quantitative Biology is an interdisciplinary journal that focuses on cutting-edge progresses, in-depth reviews as well as future perspectives of research that uses all quantitative approaches to analyze, model and engineer biological systems, and to gain quantitative understanding of the mystery of life. The quarterly journal aims to provide a platform for sharing not only new methods, technologies and results, but also novel or even sometimes bold ideas, visions and perspectives. “All rivers run into sea.” The journal covers all disciplines related to experimental biology, theoretical biology, computational biology, systems biology, synthetic biology, digital and AI biology.  

The current focuses of Quantitative Biology can be categorized roughly as of the three broad areas:

·Bioinformatics and Computational Biology,

which includes all aspects of research that are centered at developing statistical, computational and AI methods or models to handle, process and analyze all types of biological data especially omics data, as well as applying such approaches for making biological discoveries from data;

·Systems and Synthetic Biology,

which includes all aspects of research that aim to form mathematical models and quantitative understandings of complex biological systems and their interactions, and that aim to manipulate, design and engineering natural or synthetic biological systems;

·Theoretical Biology and X-biology,

which includes research on developing theories of all aspects of biology at all levels, and on the interactions of biology with all other disciplines.

The journal particularly encourages original papers of all types in all research areas of or related to these three categories, including original research articles, in-depth reviews, mini-reviews, perspectives, commentaries, and technical protocols. It also publishes news and views, meeting reports and distinguished researchers’ profiles.