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Workshop on Computational Systems Biology Approaches to Analysis of Genome Complexity and Regulatory Gene Networks
(20 - 25 November 2008)

Jointly organized with Bioinformatics Institute, Agency for Science, Technology and Research, Singapore




Organizing Committee · Visitors and Participants · Overview · Activities · Venue

 

 Organizing Committee

 

Co-chairs

  • Vladimir Kuznetsov (Bioinformatics Institute)
  • Louxin Zhang (National University of Singapore)

 

Members

  • Danail Georgiev Bonchev (Virginia Commonwealth University)
  • Frank Eisenhaber (Bioinformatics Institute)
  • Alessandro Giuliani (Istituto Superiore di Sanità)
  • Jun Liu (Harvard University)
  • Limsoon Wong (National University of Singapore)
  • Michael Zhang (Cold Spring Harbor Laboratory)

 

 Visitors and Participants

 

 Overview

 

Advances in high throughput technologies, such as microarrays, sequences-based DNA-protein complexes, and mass spectrometry methods, and the availability of human and other complex genome sequences now allow scientists to identify gene expression profiles, gene copy numbers, transcription factor binding sites (TFBS), dynamics of macromolecular interactions, pathways and networks on the genome scale. However, Noise (N), Incompleteness (I), Heterogeneity (H), and large Dimension (D), high Complexity (C) (called NIH &DC problems) are the great challenges in analysis and prediction of these and other complex systems in biology and medicine. Mathematical modeling, computational approaches, biotechnology and systems biomedical studies could successfully combined to make inferences on complex pictures of basic complex biological phenomena such as stem cell differentiation, development and cancer. This workshop will consider different mathematical and biological approaches to solve NIH & DC problems related to identification, analysis and prediction of regulatory sequences, molecular interactions and interconnected biological networks exhibiting complex and scale-dependent patterns of real biological systems. We will discuss recent progress and facilitate the exchange of new ideas and methods in the fields, focusing on the integrative statistical and computational approaches for understanding of traditional and novel types of regulatory sequences and their structural and functional roles in biological diversity and complexity of genomes, networks and pathways at the genome, transcriptome and proteome and cellular levels. This workshop is intended to promote stronger communication and collaboration among mathematical, computational and biological scientists in order to examine essential and unsolved mathematical problems arising from structural and network biology.

The topics to be covered will include:

  • Novel computational algorithms and their hybrids with computer simulations and statistic-based approaches

  • Tools for analysis novel non-canonical small regulatory macromolecules and identification their targets

  • Modeling the links between sequences, structures, dynamics and biological functions of molecules

  • Analysis of complex genome architectures, cis-sense-anti-sense gene pairs and their functions

  • Identification and prediction direct gene targets for transcription factors at wide genome level

  • DNA-protein and protein-protein networks and analysis of its complexity

  • Algorithms for prediction of novel genes, proteins and their functions

  • Clustering and identifying co-expressed genes

  • Biological noise and technical noise

  • Analysis of genome variation and instability

  • Integrative analysis of pathways and their cross-talks in normal and disease cellular programs

  • Computational image analysis of cells and biological tissues


 Activities

 

Workshop: 20 - 25 Nov 2008


Students and researchers who are interested in attending these activities are requested to complete the online registration form.

The following do not need to register:

  • Those invited to participate.

 

 Venue

 

 

 

Organizing Committee · Visitors and Participants · Overview · Activities · Venue

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