High-throughput sequencing and functional genomics technologies have given us the human genome sequence as well as those of other experimentally, medically, and agriculturally important species, thus enabling large-scale genotyping and gene expression profiling of human populations. Databases containing large numbers of sequences, polymorphisms, structures, metabolic pathways, and gene expression profiles of normal and diseased tissues are rapidly being generated for human and model organisms. Bioinformatics is therefore gaining importance in the annotation of genomic sequences; the understanding of the interplay among and between genes and proteins; the analysis of the genetic variability of species; the identification of pharmacological targets; and the inference of evolutionary origins, mechanisms, and relationships. This proceedings volume contains an up-to-date exchange of knowledge, ideas, and solutions to conceptual and practical issues of bioinformatics by researchers, professionals, and industry practitioners at the 6th Asia-Pacific Bioinformatics Conference held in Kyoto, Japan, in January 2008. Sample Chapter(s). Chapter 1: Recent Progress in Phylogenetic Combinatorics (185 KB). Contents: Recent Progress in Phylogenetic Combinatorics (A Dress); Predicting Nucleolar Proteins Using Support-Vector Machines (M Bod(r)n); Structure-Approximating Design of Stable Proteins in 2D HP Model Fortified by Cysteine Monomers (A H Khodabakhshi et al.); Seed Optimization Is No Easier than Optimal Golomb Ruler Design (B Ma & H Yao); Analysis of Structural Strand Asymmetry in Non-coding RNAs (J Wen et al.); Genome Halving with Double Cut and Join (R Warren & D Sankoff); Symbolic Approaches for Finding Control Strategies in Boolean Networks (C J Langmead & S K Jha); Optimal Algorithm for Finding DNA Motifs with Nucleotide Adjacent Dependency (F Y L Chin et al.); and other papers. Readership: Academics, researchers, and graduate students in bioinformatics and computer science.
Proceedings of the 7th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2007), Institute of Medical Science, University of Tokyo, Japan, 31 July-2 August 2007
Proceedings of the 7th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2007), Institute of Medical Science, University of Tokyo, Japan, 31 July-2 August 2007
This volume contains 31 peer-reviewed papers based on the presentations at the 7th International Annual Workshop on Bioinformatics and Systems Biology (IBSB 2007) held at the Human Genome Center, Institute of Medical Science, University of Tokyo from July 31 to August 2, 2007. This workshop started in 2001 as an event for doctoral students and young researchers to present and discuss their research results and approaches in bioinformatics and systems biology.
This chapter describes the computational methods for estimating, modeling, and simulating biological systems. It also presents two approaches to understand biological systems and describes a method and a software tool developed by our research group. Bayesian network is a mathematical model for representing causal relationships among random variables by using conditional probabilities. The conditional probabilities describe the parent-child relationships and can be viewed as an extension of the deterministic models like Boolean networks. This model is suited for modeling qualitative relations between genes and allows mathematical and algorithmic analyses. We also devised a method to infer a gene network in terms of a linear system of differential equations from time-course gene expression data. A software tool is developed based on Petri net to modeling and simulation of gene networks. With this software tool, various models have been constructed and its utility has been demonstrated in practice.
Today, as hundreds of genomes have been sequenced and thousands of proteins and more than ten thousand metabolites have been identi?ed, navigating safely through this wealth of information without getting completely lost has become crucial for research in, and teaching of, molecular biology. Consequently, a considerable number of tools have been developed and put on the market in the last two decades that describe the multitude of potential/putative interactions between genes, proteins, metabolites, and other biologically relevant compounds in terms of metabolic, genetic, signaling, and other networks, their aim being to support all sorts of explorations through bio-data bases currently called Systems Biology. As a result, navigating safely through this wealth of information-processing tools has become equally crucial for successful work in molecular biology. To help perform such navigation tasks successfully, this book starts by providing an extremely useful overview of existing tools for ?nding (or designing) and inv- tigating metabolic, genetic, signaling, and other network databases, addressing also user-relevant practical questions like • Is the database viewable through a web browser? • Is there a licensing fee? • What is the data type (metabolic, gene regulatory, signaling, etc. )? • Is the database developed/maintained by a curator or a computer? • Is there any software for editing pathways? • Is it possible to simulate the pathway? It then goes on to introduce a speci?c such tool, that is, the fabulous “Cell - lustrator 3. 0” tool developed by the authors.
High-throughput sequencing and functional genomics technologies have given us the human genome sequence as well as those of other experimentally, medically, and agriculturally important species, thus enabling large-scale genotyping and gene expression profiling of human populations. Databases containing large numbers of sequences, polymorphisms, structures, metabolic pathways, and gene expression profiles of normal and diseased tissues are rapidly being generated for human and model organisms. Bioinformatics is therefore gaining importance in the annotation of genomic sequences; the understanding of the interplay among and between genes and proteins; the analysis of the genetic variability of species; the identification of pharmacological targets; and the inference of evolutionary origins, mechanisms, and relationships. This proceedings volume contains an up-to-date exchange of knowledge, ideas, and solutions to conceptual and practical issues of bioinformatics by researchers, professionals, and industry practitioners at the 6th Asia-Pacific Bioinformatics Conference held in Kyoto, Japan, in January 2008. Sample Chapter(s). Chapter 1: Recent Progress in Phylogenetic Combinatorics (185 KB). Contents: Recent Progress in Phylogenetic Combinatorics (A Dress); Predicting Nucleolar Proteins Using Support-Vector Machines (M Bod(r)n); Structure-Approximating Design of Stable Proteins in 2D HP Model Fortified by Cysteine Monomers (A H Khodabakhshi et al.); Seed Optimization Is No Easier than Optimal Golomb Ruler Design (B Ma & H Yao); Analysis of Structural Strand Asymmetry in Non-coding RNAs (J Wen et al.); Genome Halving with Double Cut and Join (R Warren & D Sankoff); Symbolic Approaches for Finding Control Strategies in Boolean Networks (C J Langmead & S K Jha); Optimal Algorithm for Finding DNA Motifs with Nucleotide Adjacent Dependency (F Y L Chin et al.); and other papers. Readership: Academics, researchers, and graduate students in bioinformatics and computer science.
Proceedings of the 7th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2007), Institute of Medical Science, University of Tokyo, Japan, 31 July-2 August 2007
Proceedings of the 7th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2007), Institute of Medical Science, University of Tokyo, Japan, 31 July-2 August 2007
This volume contains 31 peer-reviewed papers based on the presentations at the 7th International Annual Workshop on Bioinformatics and Systems Biology (IBSB 2007) held at the Human Genome Center, Institute of Medical Science, University of Tokyo from July 31 to August 2, 2007. This workshop started in 2001 as an event for doctoral students and young researchers to present and discuss their research results and approaches in bioinformatics and systems biology.
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