Jagath Chandana Rajapakse Livres

Bioinformatics focuses on two key objectives: developing and maintaining biological databases, and extracting knowledge from life sciences data to understand biological functions, ultimately aiding in the creation of new drugs and therapies for diseases. Life sciences data includes biological sequences, structures, pathways, and literature. A crucial part of this knowledge discovery involves searching for, predicting, or modeling specific patterns within datasets that are relevant to significant biological phenomena. Numerous pattern recognition algorithms have been tailored to tackle various bioinformatics challenges. The 2006 Workshop of Bioinformatics in Pattern Recognition (PRIB 2006) initiated a series of workshops aimed at uniting researchers who apply these algorithms to solve computational biology issues. This volume contains the proceedings of PRIB 2006, held in Hong Kong on August 20, 2006, featuring 19 technical contributions selected from 43 submissions. The first paper provides an overview of pattern recognition in bioinformatics, while the remainder of the volume is divided into three parts: Part 1 focuses on signal and motif detection and gene selection; Part 2 discusses models of DNA, RNA, and protein structures; and Part 3 covers biological databases and imaging.