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BICoB 2013 : 5th International Conference on Bioinformatics and Computational Biology

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Conference Series : Bioinformatics and Computational Biology
 
Link: http://bicob.ece.iastate.edu/
 
When Mar 4, 2013 - Mar 6, 2013
Where Honolulu, HI, USA
Submission Deadline Oct 28, 2012
Categories    bioinformatics   computational biology
 

Call For Papers

The 5th international conference on Bioinformatics and Computational Biology (BICoB) provides an excellent venue for researchers and practitioners in the fields of bioinformatics and computational biology to present and publish their research results and techniques. The BICoB conference seeks original and high quality papers in the fields of bioinformatics, computational biology, systems biology, medical informatics and the related disciplines. The conference also includes a Best Paper Award given during the conference banquet. We also encourage work in progress and research results in the emerging and evolutionary computational areas. Computational techniques have already enabled unprecedented advances in modern biology and medicine. This continues to be a vibrant research area with broadening of computational techniques and new emerging challenges. Work in the computational methods related to, or with application in, bioinformatics is also encouraged including: data mining, text mining, machine learning, modeling and simulation, pattern recognition, data visualization, biostatistics, etc. The topics of interest include (and are not limited to):

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

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.

Computational Proteomics: Filtering and indexing sequence databases, Peptide quantification and identification, Genome annotations via mass spectrometry, Identification of post-translational modifications, Structural genomics via mass spectrometry, Protein-protein interactions, Computational approaches to analysis of large scale Mass spectrometry data, Exploration and visualization of proteomic data, Data models and integration for proteomics and genomics, Querying and retrieval of proteomics and genomics data etc.

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