INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS《国际数据挖掘与生物信息学杂志》（一年八期）. Inderscience Publishers allows users to reproduce material from our copyrighted content under certain conditions. We have partnered with Copyright Clearance Center (CCC) to make it easy for you to secure permissions to reuse our content.

IET Systems Biology《IET系统生物学》（一年1卷）. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.

Bioinformatics《生物信息学》（月刊）. The leading journal in its field, Bioinformatics publishes the highest quality scientific papers and review articles of interest to academic and industrial researchers. Its main focus is on new developments in genome bioinformatics and computational biology. One distinct section within the journal - Application Notes - focuses on shorter papers exploring the applications used for experiments.

BIODATA MINING《生物数据挖掘》（年刊）. BioData Mining is an open access, open peer-reviewed, informatics journal encompassing research on all aspects of Artificial Intelligence (AI), Machine Learning, and Visual Analytics, applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, genomic, metabolomic data and/or electronic health records, social determinants of health, and environmental exposure data.

Theory in Biosciences《生物科学理论》（季刊）. Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues.

Theoretical Population Biology《理论种群生物学》（双月刊）. An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena.

Algorithms for Molecular Biology《分子生物学算法》（一年1卷）. Algorithms for Molecular Biology publishes articles on novel algorithms for biological sequence and structure analysis, phylogeny reconstruction, and combinatorial algorithms and machine learning.

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE《Wiley跨学科评论-计算分子科学》（双月刊）. The computational molecular sciences utilize the techniques of rigorous chemical as well as physical theories and computer-based modeling, relying on specialized hardware and software development, algorithm design, and database management to examine and elucidate all aspects of the molecular sciences. These approaches bridge chemistry, biology, and the materials sciences and have connections to neighboring chemical as well as biological application-driven fields. WIREs Computational Molecular Science will review and highlight research from all these fields..

Acta Biotheoretica《生物学理论学报》（季刊）. Acta Biotheoretica promotes theoretical biology, encompassing mathematical biology and the philosophy of biology, and paying special attention to the methodology of formation of biological theory.

Annual Review of Biomedical Data Science《生物医学数据科学年度评论》（年刊）. he Annual Review of Biomedical Data Science provides comprehensive expert reviews in biomedical data science, focusing on advanced methods to store, retrieve, analyze, and organize biomedical data and knowledge. The scope of the journal encompasses informatics, computational, artificial intelligence (AI), and statistical approaches to biomedical data, including the sub-fields of bioinformatics, computational biology, biomedical informatics, clinical and clinical research informatics, biostatistics, and imaging informatics. The mission of the journal is to identify both emerging and established areas of biomedical data science, and the leaders in these fields.