IJBB 2011 - International Journal of Biometrics and Bioinformatics

About IJBB

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.

We invite specialists, researchers and scientists from the fields of biology, computer science, mathematics, statistics, physics and such related sciences to share their understanding and contributions towards scientific applications that set scientific or policy objectives, motivate method development and demonstrate the operation of new methods in the fields of Biometrics and Bioinformatics.

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.

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