IJBB 2010 - International Journal of Biometrics and Bioinformatics (IJBB)

CALL FOR PAPERS
Journal: International Journal of Biometrics and Bioinformatics (IJBB)
Volume: 41 Issue: 5
ISSN: 2180-1258
URL: http://www.cscjournals.org/csc/description.php?JCo...

Important Dates

Paper Submission: September 30 2010
Author Notification: November 01, 2010
Issue Publication: November / December 2010

BRIEF DESCRIPTION AND OBJECTIVES

The International Journal of Biometric and Bioinformatics (IJBB) brings together both of these aspects of biology and creates a platform for exploration and progress of these, relatively new disciplines by facilitating the exchange of information in the fields of computational molecular biology and post-genome bioinformatics and the role of statistics and mathematics in the biological sciences. Bioinformatics and Biometrics are expected to have a substantial impact on the scientific, engineering and economic development of the world. Together they are a comprehensive application of mathematics, statistics, science and computer science with an aim to understand living systems.

To build its International reputation, we are disseminating the publication information through Google Books, Google Scholar, Directory of Open Access Journals (DOAJ), Open J Gate, ScientificCommons, Docstoc and many more. Our International Editors are working on establishing ISI listing and a good impact factor for IJBB.

LIST OF TOPICS

The realm of International Journal of Biometrics and Bioinformatics (IJBB) extends, but not limited, to the following:

Bio-ontology and data mining
Bioinformatic databases
Biomedical image processing (fusion)
Biomedical image processing (registration)
Biomedical image processing (segmentation)
Biomedical modelling and computer simulation
Computational genomics
Computational intelligence
Computational proteomics
Computational structural biology
Data visualisation
DNA assembly, clustering, and mapping
E-health
Fuzzy logic
Gene expression and microarrays
Gene identification and annotation
Genetic algorithms
Hidden Markov models
High performance computing
Molecular evolution and phylogeny
Molecular modelling and simulation
Molecular sequence analysis
Neural networks