International Journal of Computational Biology, Informatics and Control (IJCBIC)


Scope & Topics:

The International Journal of Computational Biology, Informatics and Control (IJCBIC) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computational Biology, Informatics and Control. With the advances of Information Technology, Computer Science and Control Engineering, research in computational biology promotes medical research, drug design and applications. The emerging computational, statistical and biomedical approaches are useful in several applied areas of Science and Engineering. Control methods are closed related to Chaos, Automation, Communication, Robotics, Power Systems, and Biomedical Instrumentation. The journal focuses on all technical and practical aspects of Computational Biology, Informatics and Control Engineering. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on modelling concepts, computer simulation, bioinformatics, biomedical and quantitative approaches, control methods and establishes new collaborations in these areas.Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Computational Biology, Bioinformatics and Control Theory


 Adaptive control

Agriculture, environment, health applications

Algorithms, modelling and simulation of biosets

Applications of modelling in science and engineering

Biodata visualisation

Biodatabases and data mining


Bioinformatics engineering

Biological modelling

Biological systems and models

Biomedical data engineering

Biomedical image processing (segmentation, registration, fusion)

Biomedical modeling and computer simulation

Biomolecular and phylogenetic databases

Biomolecular dynamics

Bio-ontology and data mining

Body and cell biosignatures

Cellular signalling and communications

Chaos Theory

Computational genomics, Intelligence, proteomics, structural biology

Computer modelling

Control theory

Data visualization

Digital control

DNA assembly, clustering, and mapping

Drug design and drug discovery


Embedded systems

Engineering models in biomedicine

Fault detection and isolation

Feedback control

Functional genomics

Fuzzy logic

Gene expression analysis

Gene ontology

Genetic algorithms

Genetic algorithms and evolutionary computing

Hidden Markov models

High performance computing

High-throughput drug screening

Hybrid systems

Identification and classification of genes

Industry, military, space applications

Linear and nonlinear control systems

Machine learning

Mathematical modelling

Microarray technologies

Model predictive control

Molecular and cellular systems

Molecular evolution and phylogeny

Molecular modeling and simulation

Molecular sequence analysis

Monte Carlo simulation

Networked control systems

Neural networks

Neural networks and fuzzy logic

Numerical analysis and scientific computing

Optimization and optimal control

Parallel algorithms and architectures for biological analysis

Phylogeny reconstruction algorithms

Power Systems

Process control and instrumentation

Protein docking

Protein structure prediction and molecular simulation


Real-time issues


Robust control

Scientific computing

Sequence assembly and sequence ontology

Sequence search and alignment

Signaling and computation in biomedical data engineering

Simulated annealing

Sliding mode control

Soft computing and control

Statistical analysis

Stochastic control and filtering

Support vector machines

System biology

System identification and control

Systems and automation

Systems biology


 Important Dates

 Paper submission: May 02, 2015

Notification of acceptance: June 3, 2015

Final manuscripts due: June 10, 2015

Posted on April 13, 2015, in Uncategorized. Bookmark the permalink. Leave a comment.

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