Journal of Computational Biology is the leading journal in the analysis, management, and visualization of cellular information at the molecular level. It offers peer-reviewed articles focusing on novel, cutting-edge methods in computational biology and bioinformatics. The Journal is known for publishing articles that strike a balance between two dimensions—in-depth statistical, mathematical, and computational analysis of the methods, and rigorous evaluation of their practical impact in the application domain. Available only online, this is an essential journal for scientists and students who want to keep abreast of developments in bioinformatics.
Journal of Computational Biology coverage includes:
- Mathematical modeling and simulation
- Distributed and parallel biological computing
- Designing biological databases
- Pattern matching and pattern detection
- Linking disparate databases and data
- New tools for computational biology
- Relational and object-oriented database technology for bioinformatics
- Biological expert system design and use
- Reasoning by analogy, hypothesis formation, and testing by machine
- Management of biological databases
Journal of Computational Biology is under the editorial leadership of Co-Editors-in-Chief Sorin Istrail, PhD, Brown University; Michael S. Waterman, PhD, University of Southern California; and other leading investigators. View the entire editorial board.
Audience: Genomic specialists, cell biologists, developmental biologists, mathematics and systems science researchers, applied mathematics and computer scientists, among others
The views, opinions, findings, conclusions and recommendations set forth in any Journal article are solely those of the authors of those articles and do not necessarily reflect the views, policy or position of the Journal, its Publisher, its editorial staff or any affiliated Societies and should not be attributed to any of them.