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 M.K. 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/V.S. Bansal. 8. Bioinformatics: opportunities in education and research/K.R. Choudhary. 9. Petri nets for modelling and simulation of gene regulatory networks/Raed. I Hamed. 10. Formal language theory applied to living organism/K.R. 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. Visiualization 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/G.K. Panda. 17. Perception computing in bioinformatics/Sanjay Vajpai. 18. Implementation of FIS system using virtual instrumentation/Vipul A. Shah. 19. Comparision of certain appearance based object recognition methods using coil 100 Data set/Chiranji Lal Choudhary and V.K. Ananthashayan. 20. As study on speech generation system for the entered text in an Indian regional leanugage, 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)