In the era of big data challenges, as the availability of biological
information becomes ever larger and more complex, more
computational tools are needed to sort through the data. These
include:
* Development of computational methodologies to perform
systematic studies of complex interactions in biological systems
to enable discovery of new emergent properties that may arise
from the integrated systemic view.
* Development of new algorithms and statistics to assess
biological information, such as relationships among members of
very large data sets.
* Development and implementation of tools that enable efficient
access and management of different types of information, such as
various databases, integrated mapping information.
* Visualization of various types of biological data to aid in
analysis and interpretation of nucleotide and amino acid
sequences, protein domains, and protein structures.
CSBio 2013 would like to gather like minded researchers and
industrial counterparts to meet at this event to exchange ideas
and stimulate research growth.
Topics of interest include, but are not limited to:
Adaptive computation in bioinformatics
Translational bioinformatics
Medical and Biomedical Informatics
Bio-inspired computing
DNA, RNA and Protein Sequence Analysis
Gene Expression Analysis
Biomarker Discovery
Disease Classification
Modeling and simulation of biological processes, pathways,
networks, and so on
Parallel and Distributed Computing
Molecular evolution and phylogeny
Functional genomics
Proteomics & other omics
Protein folding
Drug Discovery and Validation
Biological Network Reconstruction and Analysis
Bio-data Visualization