Bioinformatics and Computational Technologies

Contents 1 Protein database and their industrial relevance Saroj Mishra 2 Finding overlapping biclusters from gene expression data Debahuti Mishra 3 In Silico 3D structure prediction of Amylase Drosophila Melanogaster Ruby Dewangan Sheetal Khatri Ashish Patel Ashajyoti Das and MK Verma 4 Bioinformatics challenges biologists need help from computer science Seema Trivedi 5 Nanotechnology and medicine Mukesh Kalla 6 Multiple sequence alignment and phylogenetic analysis of RNA polymerase protein subunits from chloroplast of Triticum aestivum Prakash Chandra Mishra 7 Computational techniques for bioinformatics systems VS Bansal 8 Bioinformatics opportunities in education and research KR Choudhary 9 Petri nets for modelling and simulation of gene regulatory networks Raed I Hamed 10 Formal language theory applied to living organism KR Choudhary 11 Modeling genetic behavior in heredity through Markov chains Rajesh Purohit 12 Creation of gene regulatory network by using graph theory algorithms Seema S 13 Semantic bioinformatic A seamless approach Sumit Purohit 14 Soft computing an emerging tool for Bioinformatics Jayashri Vajpai 15 Visualization of features in images using self organizing map som and mapping using hopfield neural network Manu Pratap Singh 16 Uncertainly management and query optimization in database using rough sets and genetic algorithms GK Panda 17 Perception computing in Bioinformatics Sanjay Vajpai 18 Implementation of FIS system using virtual instrumentation Vipul A Shah 19 Comparison of certain appearance based object recognition methods using coil 100 Data set Chiranji Lal Choudhary and VK Ananthashayan 20 As study on speech generation system for the entered text in an Indian regional language enhanced with emotions Jagadish S Kallimani Bioinformatics and computational technology deals with the applications of computers for understanding a gamut of biological phenomena using instrumentation techniques of Chemistry and Physics New frontiers of knowledge have started rapidly appearing in this highly interdisciplinary field which attempts to integrate diverse types of data to gain insight into the highly complex world of living beings This shift to data driven biology has led to the need of new computational technology for carrying out speedy research to open ever expanding horizons of knowledge in the field of Bioinformatics In conclusions this book brings in sharp focus the following challenging areas for research in bioinformatics and computational technologies Design of efficient algorithms for Finding similarities among strings such as proteins of different organisms Detecting certain patterns with in strings as genes introns and alpha helics Constructing physiologenic trees to express evolution of organisms whose DNA or protein structure is currently known Classifying new data according previously detected sets of annotated data and reasoning about micro array data and the corresponding behaviour of pathways It is hoped that this book will fire the imaginations of the researchers so that new horizons of knowledge are created with ever increasing speed in the field of bioinformatics and computational technologies for unraveling mysteries about how living systems metabolize grow reproduce regenerate and combat diseases jacket 106 pp.…