Journal of Computational Systems Biology

ISSN: 2455-7625

Aims and scope

Journal of Computational Systems Biology (JCSB) is an open access journal focusing on publishing research articles in all areas of Computational biology. JCSB also aims to serve the scientific community by exploring the ideas of the scientific researchers, it plays a key role in exposure of their reviewed articles through online for freely available to researchers worldwide.

Major research areas

  • Computational Biology
  • Bioinformatics
  • Health Informatics

JCSB is a new and promising journal of computer aided biological information. The purpose of this journal is to provide top-notch scientific resources for researchers interested in the areas of computational biology and bioinformatics. We aim to develop an understanding of the issues associated with developing biologically meaningful computational models and to serve the scientific community to create a set of models directed towards solving a practical computational problem.

Subject areas include, but are not restricted to the following fields: 

  • Biological Databases
  • Biomedical Informatics
  • Biology-inspired Computational Methods
  • Sequence Analysis
  • Systems Biology
  • Computational Biomodelling
  • Computational Genomics
  • Computational Neuroscience
  • Computational Pharmacology
  • Cancer Computational Biology
  • Biostatistics
  • Computational Biochemistry
  • Molecular Modelling
  • Computer-Aided Drug Design
  • Biological Rhythms
  • Bioimage Analysis
  • Mathematical and theoretical biology
  • Rational and Object-Oriented Database Technology for Bioinformatics

JCSB do not confine to a particular area of research, as computational biology is a vast subject it covers all biological research areas integrated with computer technologies. It also covers research topics on developing techniques and tools for collection, organizing, retrieving and analysis of data in health informatics. JCSB explores the specific concepts, phenomena, and processes of biological information at the digital level. It is uniquely focused on conveying recent advancements to the scientific world in computational biology.



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