Pattern recognition in bioinformatics

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Advancements in computational and informational techniques have enabled in silico testing of lab-based experiments in life sciences prior to in vitro or in vivo execution. While these techniques cannot replicate all wet-lab experiments, bioinformatics is poised to play a significant role in future medical practices. For instance, in drug discovery, it can minimize costs and complexities associated with expensive wet-lab work. By 2010, the affordability of sequencing individual genomes is expected to lead to an unprecedented surge in life sciences data, including sequences, expressions, networks, images, and literature. Pattern recognition techniques are central to uncovering new biological insights, as specific patterns often indicate function. The workshop series on Pattern Recognition in Bioinformatics (PRIB) aims to unite pattern recognition scientists and life scientists to promote the application of these techniques in addressing life sciences challenges. This volume contains the proceedings from the 2nd IAPR Workshop PRIB 2007, held in Singapore on October 1–2, 2007. It features 38 technical contributions selected from 125 submissions by the International Program Committee, with each rigorously reviewed paper presented orally at the workshop. The proceedings are organized into six parts: Sequence Analysis, Prediction of Protein Structure, Interaction, and Localization, Gene Expression Analysis, Pathway Analysis, Medical