BMC BIOINFORMATICS《BMC生物信息学》（年刊）. BMC Bioinformatics is an open access, peer-reviewed journal that considers articles describing novel computational algorithms and software, models and tools, including statistical methods, machine learning and artificial intelligence, as well as systems biology.

BIOSYSTEMS《生物系统》（月刊）. BioSystems encourages theoretical, computational and experimental articles that link biology, evolutionary concepts, and the information processing sciences. The journal is dedicated to developing the consequences of the discoveries of biological information and of the genetic code - with the view of obtaining a better understanding of the origins and evolution of biological organization, biological adaptability, and the origin of mind and language.

PLOS COMPUTATIONAL BIOLOGY《公共科学图书馆：计算生物学》（月刊）. PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery.

JOURNAL OF COMPUTATIONAL NEUROSCIENCE《计算神经科学杂志》（季刊）. The Journal of Computational Neuroscience welcomes full length original papers, rapid communications and review articles describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily, theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology.

Journal of Computational Biology《计算生物学杂志》（月刊）. Journal of Computational Biology is the leading peer-reviewed journal in computational biology and bioinformatics, publishing in-depth statistical, mathematical, and computational analysis of methods, as well as their practical impact. Available only online, this is an essential journal for scientists and students who want to keep abreast of developments in bioinformatics.

JOURNAL OF BIOLOGICAL SYSTEMS《生物系统杂志》（季刊）. The Journal of Biological Systems is published quarterly. The goal of the Journal is to promote interdisciplinary approaches in Biology and in Medicine, and the study of biological situations with a variety of tools, including mathematical and general systems methods.

Journal of Biological Dynamics《生物力学杂志》（一年1卷）. Journal of Biological Dynamics is an open access journal that publishes cutting-edge research analysing dynamic models that arise from biological processes. Journal of Biological Dynamics focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems. In addition, the journal welcomes papers that aim to connect mathematical modelling and analysis to experimental and observational data.

JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY《生物信息学与计算生物学杂志》（双月刊）. The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information.

GENETIC EPIDEMIOLOGY《遗传流行病学》（一年8期）. Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations.

FRONTIERS IN COMPUTATIONAL NEUROSCIENCE《计算神经科学前沿》. Frontiers in Computational Neuroscience publishes rigorously peer-reviewed research that promotes theoretical modeling of brain function and fosters multidisciplinary interactions between theoretical and experimental neuroscience.