Journal of Computational Intelligence in Bioinformatics (JCIB)


ISSN: 0973-385X



Bhaskar Das Gupta,

Associate Professor 

Department of Computer Science (MC 152)

University of Illinois at Chicago

851 South Morgan Street 

Chicago, IL 60607-7053, USA

Aims and Scope: The Journal of Computational Intelligence in Bioinformatics (JCIB) is an international research journal, which publishes articles describing recent fundamental contributions in the field of Bioinformatics. Artificial intelligence and computational intelligence theory and their applications in Bioinformatics are the essential topics being covered.

           Areas of interest include but are not limited to advances in computational molecular/structural biology, encompassing areas such as computing in biomedicine and genomics, computational proteomics and systems biology, and metabolic pathway engineering. Developments in these fields have direct implications on key issues related to health care, medicine, genetic disorders, development of agricultural products, renewable energy, environmental protection, etc. Journal publishes research articles and reviews within the whole field of bioinformatics, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.

Submission: Authors are requested to submit their papers electronically to with mention journal title (JCIB) in subject line.

Date and Frequency: Three issues in a year.

Journal Topics :

Topics of interest include (but not limited to):


Artificial/computational intelligence: architectures, theory and models:


l         Feature selection, dimension reduction, pattern classification and recognition

l         Expert systems

l         Possibility theory, Bayesian network and hidden Markov models

l         Artificial neural networks

l         Fuzzy logic and Fuzzy Systems

l         Rough sets and Granular computing

l         Evolutionary Algorithms

l         Learning Classifiers

l         Support vector machine

l         Data mining

l         Hybrid evolutionary algorithms

l         Fusion of neural network- fuzzy systems

l         Fusion of fuzzy systems- evolutionary algorithms

l         Fusion of neural network - evolutionary algorithms

l         Fusion of neural network- fuzzy systems- evolutionary algorithms

l         Bayesian networks and probabilistic reasoning

l         Swarm intelligence

l         At colony optimization

l         Computational Intelligence

l         Hybrid Computational Intelligence

  Applications in Bioinformatics:

l         Bioinformatics Databases

l         Gene Expression and Microarrays

l         Data Visualization

l         Motif and pattern discovery

l         DNA Assembly, Clustering, and Mapping

l         Gene Identification and Annotation

l         Parallel Algorithms for Biological Analysis

l         Biomedical Image Processing

l         Molecular Evolution and Phylogeny

l         Taxonomy

l         Sequence analysis and alignment

l         Ecological modeling

l         Cell simulation and modeling

l         Molecular Modeling and Simulation

l         Mathematical immunology modeling and discovery

l         Receptors and regulatory network

l         Functional genomics and Large-scale functional genomics

l         Models for cellular metabolism and inter-cellular signaling

l         Genome- and proteome-scale modeling

l         Analysis of protein interaction with other cellular constituents

l         Protein structure prediction

l         Comparative and quantitative proteomics

l         Management of genomics and proteomics data

l         Post-translational modification analysis

l         Structural proteomics



Editorial Board


Instruction for Authors


Vol. 1  No.1       No.2-3 (2008)


Vol. 2  No.1- 2  No.3        (2009)


Vol. 3  No.1 No.2-3       (2010)


Vol. 4  No.1 No.2  No.3 (2011)


Vol. 5  No.1 No. 2 No.3 (2012)


Vol. 6  No.1 No.2  (2013)


Vol. 7 No. 1 (2014)


Vol. 8 No. 1 (2015)


Vol. 9 No. 1 (2016)


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