This book focuses on the processing of information with forms of life and use of information technology in their understanding. Readers are first given a comprehensive biocomputing before navigating the complex terrain of natural processing of biological information using computational models of physiological and analog. Since the artificial processing of biological information processing is a complete natural, a better understanding of the former helps us improve both. Contents: A Multi-Disciplinary Survey of Biocomputing: Molecular and Cellular Level: A Multi-Disciplinary Survey of Biocomputing: Systems and evolution rate, and Application Technology, Model for Complex eukaryotic DNA sequence manager: An Algorithm for Ab initio DNA motif detection: Detecting the molecular evidence Positive Darwinian selection; Molecular phylogenetic analysis: Understanding the Genome Evolution: Building a Biological Protein Protein Interaction Networks: Computational Modelling Gene Regulatory Networks; Review of Text-Mining in Biology; Integrated prognosis Profile: Combining Clinical and Gene Expression Information through developing connectionist approach; Database on Regulation Gene; In Search Better Validation and Statistical Methods in microarray data analysis; Information Extraction from Dynamic Web Sources on Biological; Computer Aided Design of Signaling Networks; DNA Sequence Analysis:: Database of Biological and Hunting Gen Web Services: Metrics for Quality.