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.
The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been done on BNs from a viewpoint of complex systems, not so many studies have been undertaken from a computational viewpoint. This book presents rigorous algorithmic results on important computational problems on BNs, which include inference of a BN, detection of singleton and periodic attractors in a BN, and control of a BN. This book also presents algorithmic results on fundamental computational problems on probabilistic Boolean networks and a Boolean model of metabolic networks. Although most contents of the book are based on the work by the author and collaborators, other important computational results and techniques are also reviewed or explained.
This volume contains 18 peer-reviewed papers based on the presentations at the 10th Annual International Workshop on Bioinformatics and Systems Biology (IBSB 2010) held at Kyoto University from July 26 to July 28, 2010. 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. It is part of a collaborative educational program involving leading institutions and leaders committed to the following programs: bull; Boston - Graduate Program in Bioinformatics, Boston University bull; Berlin - The International Research Training Group (IRTG) "Genomics and Systems Biology of Molecular Networks" bull; Kyoto - The JSPS International Training Program (ITP) "International Research and Training Program of Bioinformatics and Systems Biology" bull; Tokyo - Global COE Program "Center of Education and Research for Advanced Genome-Based Medicine
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.
The Boolean network (BN) is a mathematical model of genetic networks and other biological networks. Although extensive studies have been done on BNs from a viewpoint of complex systems, not so many studies have been undertaken from a computational viewpoint. This book presents rigorous algorithmic results on important computational problems on BNs, which include inference of a BN, detection of singleton and periodic attractors in a BN, and control of a BN. This book also presents algorithmic results on fundamental computational problems on probabilistic Boolean networks and a Boolean model of metabolic networks. Although most contents of the book are based on the work by the author and collaborators, other important computational results and techniques are also reviewed or explained.
The first edition of New Fibers was enthusiastically received by a worldwide audience and this second edition has provided an opportunity to revise and update its contents and examine new developments since 1990.There have been considerable changes in the nature of the fibers being produced, the production methods and in consumers' values and expectations. Since 1990, the march of high-tech fibers has continued, with an ever increasing sub-division to meet specialised applications, as in high performance, high-function and high-sense fibers.New research and development has produced fibers with high tenacity and modulus to give the super-fibers now used as industrial materials. The more aesthetic and comfortable modern lifestyle has given rise to improved Shin-gosen and it is this springboard that leads on to 'fibers for the next millennium', the subject of a new chapter. Another new chapter examines the resurgence of synthetic cellulosics since 1990, in particular the various solvent-spun fibers of the Lyocell and Tencell families.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.