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International Conference on Bioinformatics and Computational Biology - ICBCB 2012

Added by admin on 2012-01-17

Conference Dates:

Start Date Start Date: 2012-04-07
Last Date Last Day: 2012-04-08

Conference Contact Info:

Contact Person Contact Person: Prof. Dr. Mohamed Othman
Email Email: icbcb@iacsit.org
Address Address: Mines Wellness Hotel, Kuala Lumpur, Malaysia

Conference Description:

ICBCB 2012, aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Bioinformatics and Computational Biology, and discuss the practical challenges encountered and the solutions adopted.

The conference will be held every year to make it an ideal platform for people to share views and experiences in Bioinformatics and Computational Biology and related areas. Selected papers of ICBCB 2012 will be published in the ICDIP proceedings, which will be published by SPIE, and will be archived in the SPIE Digital Library and indexed by Ei Compendex and Thomson ISI.

Topics of interest for submission include, but are not limited to:

Genome analysis: Genome assembly, genome and chromosome annotation, gene finding, alternative splicing, EST analysis and comparative genomics.

Sequence analysis: Multiple sequence alignment, sequence search and clustering, function prediction, motif discovery, functional site recognition in protein, RNA and DNA sequences.

Phylogenetics: Phylogeny estimation, models of evolution, comparative biological methods, population genetics.

Structural Bioinformatics: Structure matching, prediction, analysis and comparison; methods and tools for docking; protein design

Analysis of high-throughput biological data: Microarrays (nucleic acid, protein, array CGH, genome tiling, and other arrays), EST, SAGE, MPSS, proteomics, mass spectrometry.

Genetics and population analysis: Linkage analysis, association analysis, population simulation, haplotyping, marker discovery, genotype calling.

Systems biology: Systems approaches to molecular biology, multiscale modeling, pathways,gene networks.
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