edited by Yi-Ping Phoebe Chen (Deakin University, Australia) & Limsoon Wong (Institute for Infocomm Research, Singapore)

High-throughput sequencing and functional genomics technologies have given us a draft human genome sequence and have enabled large-scale genotyping and gene expression profiling of human populations. Databases containing large number of sequences, polymorphisms, and gene expression profiles of normal and diseased tissues in different clinical states are rapidly being generated for human and model organisms. Bioinformatics is thus rapidly growing in importance in the annotation of genomic sequences, in the understanding of the interplay between genes and proteins, in the analysis the genetic variability of species, etc. The 3rd APBC brings together researchers, professionals, and industrial practitioners for interaction and exchange of knowledge and ideas. The proceedings contains the latest results that address conceptual and practical issues of bioinformatics.

Papers presented at APBC'05 and included in this proceedings volume span the following: Novel Applications in Bioinformatics, Computational Analysis of Biological Data, Data Mining & Statistical Modeling of Biological Data, Modeling and Simulation of Biological Processes, Visualization of Biological Processes and Data, Management, Migration, and Integration of Biological Databases, Access, Indexing, and Search in Biological Databases.

• A Better Gap Penalty for Pairwise-SVM (H N Chua & W-K Sung)
• A Graph Database with Visual Queries for Genomics (G Butler et al.)
• Consensus Fold Recognition by Predicted Model Quality (J Xu et al.)
• Toward Discovering Disease-Specific Gene Networks from Online Literature (Z Zhang et al.)
• Hybrid Registration for Two-Dimensional Gel Protein Images (X Wang & D D Feng)
• Exact Algorithms for Motif Search (S Rajasekaran et al.)
• Voting Algorithms for Discovering Long Motifs (F Y L Chin & H C M Leung)
• A Highly Scalable Algorithm for the Extraction of Cis-Regulatory Regions (A M Carvalho et al.)
• A Support Vector Machine Approach for Prediction of T Cell Epitopes (L Huang & Y Dai)
• Protein Informations Towards Integration of Data Grid and Computing Grid (H Nakamura)
• Computing the Assignment of Orthologous Genes via Genome Rearrangement (X Chen et al.)
• and other papers