Institute of Cytology and Genetics, Akademgorodok, Novosibirsk, Russia
July 25-30, 2004
· COMPUTATIONAL STRUCTURAL AND FUNCTIONAL GENOMICS:
Large-scale genome analysis and comparison; genome functional annotation, gene finding and prediction; genome knowledge bases and ontologies; mobile genetic elements and repeated DNA sequences, DNA nucleosomal organization. Regulatory genomic sequences: databases and knowledge bases, computer analysis, modeling and simulation, comparative genomics of regulatory regions; gene expression (models of transcription, splicing, and translation control);· COMPUTATIONAL STRUCTURAL AND FUNCTIONAL PROTEOMICS:
RNA structure–function organization (analysis and prediction); protein structure and function analysis, modeling, and prediction; classification of folds and structural motifs in proteins; functional sites and active centers in 3D protein structure (recognition and modeling of function); large-scale analysis of proteomes and protein-protein interactions; · COMPUTATIONAL SYSTEM BIOLOGY:
Gene networks, regulatory networks, signal transduction pathways, metabolic pathways, gene expression pathways (databases and knowledge bases, computer analysis, modeling, and simulation); In silico reconstruction of gene networks by computational analysis of microarray data; description and modeling of intracellular dynamics; intercellular communication modeling; virtual cell; networks and development; systems biology and biotechnology, epigenetics; · COMPUTATIONAL EVOLUTIONARY BIOLOGY:
Genetic variation (SNPs, haplotypes, etc.); large scale genome rearrangements; genome polymorphism; molecular evolution, regulatory systems and metabolic pathways; comparative genomics; evolution of protein structure and function; phylogenetic trees reconstruction; horizontal transmission of genetic information; · METHODS TO ANALYZE AND SIMULATE BIOMOLECULAR SYSTEMS AND PROCESSES:
Integrating genetic, functional, and molecular pathways with genetic networks from complex genetic trait analysis; interactive links between bioinformatics and experimental research on functional genomics (gene expression array analysis and other new technologies and methods); data warehousing, knowledge discovery, data mining, and machine learning in genomics and proteomics; superlarge computer systems in molecular biology and molecular genetics, high performance computing in functional and structural genomics and proteomics; data management methods and systems; database integration; data visualization; string and graph algorithms; stochastic modeling; · BIOINFORMATICS AND EDUCATION
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Invited Speakers:
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INTERNATIONAL PROGRAM COMMITTEE Nikolay Kolchanov, Institute of Cytology and Genetics, Novosibirsk, Russia (Chairman of the Conference) Ralf Hofestadt University of Bielefeld, Germany (Co-Chairman of the Conference) Jurgen Borlak, Center of Drug Research and Medical Biotechnology, Fraunhofer Institute of Toxicology and Experimental Medicine, Hannover, Germany Philipp Bucher, Swiss Institute for Experimental Cancer Research, Switzerland Jim Fickett, AstraZeneca, Boston, USA Mikhail Gelfand, GosNIIGenetika, Moscow, Russia Sergey Goncharov, Sobolev Institute of Mathematics, Novosibirsk, Russia Charlie Hodgman, GlaxoSmithKline, UK Lev Kisselev, Engelhardt Institute of Molecular Biology, Moscow, Russia Luciano Milanesi, National Research Council - Institute of Biomedical Technology, Italy Eric Mjolsness, Institute for Genomics and Bioinformatics, University of California, Irvine, USA Akinori Sarai, Kyushu Institute of Technology (KIT), Iizuka, JAPAN Rustem Tchuraev, Institute of Biology,Ufa Sci. Centre RAS, Ufa, Russia Denis Thieffry, ESIL-GBMA, Universite de la Mediterranee, Marseille, France Masaru Tomita, Institute for Advanced Biosciences, Keio University, Japan Edgar Wingender, GBF, Braunschweig, Germany Eugene Zabarovsky, Karolinska Institute, Stockholm, Sweden Lev Zhivotovsky, Institute of General Genetics, Moscow, Russia
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