2011 - Workshop on Computational Biology

The ISDA 2011 workshop on “Computational Biology” provides a multidisciplinary forum for disseminating the latest developments in bioinformatics/computational biology. Another goal is to bring together scientists from computer science, molecular biology, mathematics, statistics and related fields and promote scientific information interchange. The principal focus is the development and application of advanced computational methods for biological problems.

Topics

Topics of the workshop include, but are not limited to:

single nucleotide polymorphism (SNP) analysis
computational intelligence for next generation sequencing
machine learning and computational intelligence in biomedicine
clinical diagnosis and disease prediction
medical image analysis and pattern recognition
integration of molecular data (genomic, proteomic) and clinical data
genome analysis
genetics and population analysis
methods
high-throughput data analysis (microarrays, mass spectrometry, EST, etc.)
analysis of large biological data sets
clustering, biclusering, and triclustering of gene profiles
handling missing values of microarray data
modeling gene regulatory networks
network based systems biology
classifier fusion and ensemble methods
decision support and expert systems
molecular sequence alignment and analysis
RNA and protein folding and structure prediction
motif and signal detection
molecular evolution and phylogenetics
gene finding
computational proteomics
metabolic pathway analysis
Structural Bioinformatics
molecular docking and drug design
immuno- and chemo-informatics
text mining
biological and medical ontologies
systems and synthetic biology
in-silico optimization of biological systems
ecoinformatics and appications to ecological data analysis
phylogenetics
Paper Submission

Please follow the instructions given at the corresponding section.

Organizers

Coral del Val: delval-AT-decsai.ugr.es
Rocio Romero-Zaliz: rocio-AT-decsai.ugr.es
Igor Zwir: igor-AT-decsai.ugr.es
Department of Computer Science and Artificial Intelligence
University of Granada