edited by David Sankoff (University of Ottawa, Canada), Lusheng Wang (City University of Hong Kong, Hong Kong), & Francis Chin (The University of Hong Kong, Hong Kong)

Table of Contents (128k)
Preface (99k)
Chapter 1: Metagenome Analysis Using Megan (613k)

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, and have enabled large-scale genotyping and gene expression profiling of human populations. Databases containing large numbers of sequences, polymorphisms, structures, and gene expression profiles of normal and diseased tissues are being rapidly generated for human and model organisms. Bioinformatics is thus rapidly growing in importance in the annotation of genomic sequences; the understanding of the interplay among and between genes and proteins; the analysis of 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 industrial practitioners at the 5th Asia-Pacific Bioinformatics Conference held in Hong Kong in January 2007.

• Exploring Genomes of Distantly Related Mammals (J A Marshall Graves)
• Subtle Motif Discovery for Detection of DNA Regulatory Sites (M Comin & L Parida)
• Using Formal Concept Analysis for Microarray Data Comparison (V Choi et al.)
• Computing the Quartet Distance Between Evolutionary Trees of Bounded Degree (M Stissing et al.)
• A Randomized Algorithm for Comparing Sets of Phylogenetic Trees (S-J Sul & T L Williams)
• Exact and Heuristic Approaches for Identifying Disease-Associated SNP Motifs (G Huang et al.)
• The Distance Between Randomly Constructed Genomes (W Xu)
• Semi-supervised Pattern Learning for Extracting Relations from Bioscience Texts (S Ding et al.)
• Fast Structural Similarity Search Based on Topology String Matching (S-H Park et al.)
• and other papers