Hai dimenticato la tua password?
Intl Conf "Pattern Recognition in Bioinformatics": submission deadline 5 June
Azioni sul documento
The 2nd International Conference on Bioinformatics and Systems Biology (BSB 2009)
| Cosa | Meeting |
|---|---|
| Quando |
23/03/2009 09:00
al 25/03/2009 17:00 |
| Dove | Leipzig, Germany |
| Persona di riferimento | Dr Hong Yue |
| Indirizzo e-mail per contatti | hong.yue@eee.strath.ac.uk |
| Partecipanti | Technical Program Chair, Dr Hong Yue, department of Electronic & Electrical Engineering, University of Strathclyde, United Kingdom, Publicity Chair, Eloisa Vargiu, PhD IASC Group, DIEE University of Cagliari, Italy, International Technical Committee, Julio R. Banga, Instituto de Investigaciones Marinas, Spain, Martin Brown, University of Manchester, UK, Eric Bullinger, University of Strathclyde, UK, Mario Cannataro, University Magna Graecia of Catanzaro, Italy, PierLuigi Frisco, Heriot Watt University, UK, Mark Girolami, University of Glasgow, UK, Nathan Griffiths, University of Warwick, UK, Rudiyanto Gunawan, National University of Singapore, Singapore, Dirk Husmeier, Biomathematics and Statistics Scotland, UK, Dimitris Kalamatianos, Hamilton Institute, National University of Ireland, Ireland, Jongrae Kim, University of Glasgow, UK, Maria I. Klapa, Foundation for Research and Technology-Hellas, Greece, Andreas Kremling, Max-Planck-Institute, Germany, Jianzhi Li, De Montfort University, UK, Shao Li, Tsinghua University, China, China, Niklas Ludtke, Max Planck Institute, Germany, Bruce MacLennan, University of Tennessee Knoxville, USA, Martin Senger, International Rice Research Institute, Philippines, Kay Chen Tan, National University of Singapore, Singapore, Eloisa Vargiu, University of Cagliari, Italy, Julio Vera-Gonzalez, University of Rostock, Germany, Tong Zhou, Tsinghua University, China |
| Aggiungi l'evento al calendario |
vCal
iCal
|
Systems Biology is concerned with the system-level study of complex interactions in biological systems and provides a quantitative systemic approach to understanding complex biological phenomena. On the other hand, the ultimate goal for the understanding and modeling of biological systems is at the synthesis and simulation of biological behaviors and functions, across which Bioinformatics plays an important underpinning role. Recent progresses in Bioinformatics and Systems Biology are extraordinarily exciting and are calling for even broader and further deep-stretching interdisciplinary research and collaboration.
Bioinformatics
- bioinformatics database integration and interoperation
- biological data mining and visualization
- biomedical image processing
- bio-ontology and semantics
- brain informatics
- computational drug discovery
- computational genomics
- computational neurobiology, neuroinformatics
- computational proteomics
- computational tools for sequence analysis
- grid computing and service-oriented architecture for biological or medical applications
- high-performance biocomputing
- ICT infrastructure for bioscience and biotechnology
- immunoinformatics
- integrative data and text mining approaches
- molecular databases / data warehouses
- semantic analysis and knowledge discovery for high-throughput biological data
- semantic webs and web services for medical or biological applications
- software agent and multi-agent technology for medical or biological applications
- structural bioinformatics
- synthetic biological systems
- visualization methods for computational biology
Systems Biology
- biological morphology
- biomedical systems modeling, simulation and visualization
- computational modeling, analysis and simulation of complex biological systems
- developmental biology
- dynamic modeling of cell processes (signal pathway, gene regulation, metabolics, protein-protein interactions)
- dynamics of complex biological systems
- evolution of biological networks
- gene expression networks
- kinetic modeling using various imaging techniques
- microarray design and data analysis
- model-driven experimental design of biological systems
- multi-scale modeling of complex biological systems/networks (molecular, cellular, tissue, organism, living individual)
- parameter identification and validation of cell network models
- quantitative approaches to cell processes
- systems theoretical analysis/interpretation of biological mechanisms/phenomena
- topological analysis of gene regulation, signal transduction and metabolic networks