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About The Author

Ajit Kumar Roy
Ajit Kumar Roy: Consultant (Statistics), Department of Economics and Statistics, College of Fisheries, Central Agricultural University, Lembucherra-799 210, Agartala, Tripura (W),India

About The Book

The book entitled “Applied Computational Biology and Statistics in Biotechnology and Bioinformatics” is aimed to cater to the growing demand of academia, researchers and commercial ventures. Altogether there are forty four s divided into the following broad sections like 1. Bioinformatics, Genomics and Proteomics, 2. Phylogeny 3. Drug Design and Epigenomics 4. Advanced Computational Tools and Techniques 5. Statistical methods for computational biology, data mining and visualization 6. Socio Economics and Ethics. 

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It contains basic molecular biology concepts, tools, techniques and ways to measure sequence similarity, presents simple applications of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text explores applications of the phylogenetic tree, methods for comparing phylogenetic trees, the problem of gene expression and motif finding. Interestingly, it is attempted to introduce computational biology without formulas that presents the biological and computational ideas in a relatively simple manner. It focuses on computational and statistical principles applied to genomes, and introduces the computational statistics that are crucial for understanding and visualization of problems. This makes the material accessible to Statistician and computer scientists without biological training, as well as to biologists with limited background in Statistics and computer science. Furthermore one has been exclusively devoted to computational biology and computational statistics as applied in biotechnology illustrated with methodology, application and interpretation of results. More than four hundred figures, illustrations and diagrams reinforce concepts and present key results from the primary literature that will be very much useful to grasp on the subject, visualize the output and make right interpretation of the result.

The book will be useful for all those working in Biotechnology sector in general and particularly researchers working in the laboratories of ICAR, CSIR, SAU’s and many more institutions engaged R&D activities.

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  1. Start Pages

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  2. Microarrays: Introduction, Applications and Data Analysis


    Chirayu Goswami
    1 - 38 (38 Pages)
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  3. Functional Genomics


    Sudipa Chakravarty and Amit Chakravarty
    39 - 84 (46 Pages)
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  4. Software Tools and Resources for Bioinformatics Research


    Anil Rai, Jyotika Bhati and S.B.Lal
    85 - 102 (18 Pages)
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  5. Databases, Web Resources and Computational Tools Useful for Bioinformatics Research


    ANINDYA SUNDAR BARMAN & MAMTA SINGH
    103 - 130 (28 Pages)
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  6. An Insight into Uniparental Gene Silencing and Assessment of Genomic Affinities of Different Species


    R.S. Talluri
    131 - 144 (14 Pages)
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  7. Bioinformatics and Biotechnological Studies in one of the Highly Valuable Plants Crocus sativus L.: A State of the Art


    Hilal Khaliq, Dinesh Parmar and N.C. Sharma
    145 - 168 (24 Pages)
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  8. A Review of Computational Biology and Bioinformatics Driven Research in Indian Catfish


    Surajit Debnath
    169 - 194 (26 Pages)
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  9. Recent Trends in Fish Genomics


    N.S. Nagpure, Arunima Kumar Verma, S.P. Singh and U.K. Sarkar
    195 - 210 (16 Pages)
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  10. Advances in Proteomics : Principles, Methods and Bioinformatics


    Suman Patel
    211 - 244 (34 Pages)
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  11. 10 

    Expressed Sequence Tags (ESTs): Resource for in silico Prediction of SSR and SNP


    Rajender Singh and Sonia Sheoran
    245 - 254 (10 Pages)
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  12. 11 

    Structure and Functional Analysis of The Putative beta-galactosidase in Zymomonas mobilis


    S. Sheik Asraf, K.N. Rajnish and P. Gunasekaran
    255 - 276 (22 Pages)
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  13. 12 

    Chromosomes and Nuclear DNA Amounts to Deduce Evolutionary Relationship of The Species


    R.S. Talluri
    275 - 298 (24 Pages)
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  14. 13 

    Molecular Evolution and Phylogenetic Analysis


    Chirayu Goswami
    299 - 334 (36 Pages)
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  15. 14 

    Computational Phylogenicity of Biological Pathways : A Study of Some TCA Cycles


    Losiana Nayak, Namrata Tomar and Rajat K. De
    335 - 368 (34 Pages)
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  16. 15 

    Plant DNA Barcoding: Molecular Phylogeny-Tracking by Nano Devices


    R.S. Talluri
    369 - 384 (16 Pages)
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  17. 16 

    Phylogenetic Analysis of Microbes using Bioinformatic Tools


    Showkat A. Lone and Jasdeep Chatrath Padaria
    385 - 408 (24 Pages)
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  18. 17 

    Construction of Phylogenetic Tree : Methods with An Empirical Example of rDNA Sequence


    MAMTA SINGH & ANINDYA SUNDAR BARMAN
    409 - 418 (10 Pages)
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  19. 18 

    Barriers to Gene Flow and Crossability of Species in Relation to Phylogenic Position


    R.S. Talluri
    419 - 436 (18 Pages)
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  20. 19 

    High Throughput Biomedical Instrumentations and Use in Medical Bioinformatics


    Anjan Roy, Vikramjit Poddar and Ajit Kumar Roy
    437 - 488 (52 Pages)
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  21. 20 

    Epigenetic Regulation of the Genome and Personalized Medicine


    Amit Chakravarty and Sudipa Chakravarty
    489 - 530 (42 Pages)
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  22. 21 

    Computational Toxicology: A Powerful Tool Towards the Drug Designing


    Sunil Kumar Tripathi, Poonam Singh and Sanjeev K. Singh
    531 - 560 (30 Pages)
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  23. 22 

    Modern Quantum  Mechanical Methods Applied to Accurate in silico Drug Designing


    Arpita Yadav, Minakshi Sonker and Abhay Krishna
    561 - 576 (16 Pages)
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  24. 23 

    Active Sites Prediction on Molecular Modeling Studies


    Selvaraj C., Sunil Kumar Tripathi and Sanjeev Kumar Singh
    577 - 590 (14 Pages)
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  25. 24 

    Bioinformatics Approaches in Phytoremediation


    Sudeep Roy, Dwijendra K. Gupta and Ashok Sharma
    591 - 614 (24 Pages)
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  26. 25 

    Machine Learning Methods for Bioinformatics


    H.C.Verma
    615 - 644 (30 Pages)
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  27. 26 

    Biclustering of Gene Microarray Data Using Multi-objective Evolutionary Optimization Algorithms


    Sourav Sikdar, Arghya Kumar Pal, Veera Talukdar and Amit Konar
    645 - 676 (32 Pages)
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  28. 27 

    Computational Approaches to Protein Domain Identification


    Nita Parekh
    677 - 696 (20 Pages)
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  29. 28 

    Computational Methods in Protein Engineering and Design


    Divya P. Syamaladevi
    697 - 706 (10 Pages)
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  30. 29 

    Conceptualization of Converging Nanotechnology and Bioinformatics : Applications in Medicine


    Abhishek Shukla, Pranjal Chandra, Pallavi Somvanshi, Tanmaya Kumar Sahu, Neelima Garg, Muthukumar M5 and Bhartendu Nath Mishra
    707 - 726 (20 Pages)
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  31. 30 

    Potential Web Based Computational and Communicational Tools to Impact Agriculture In India


    Acushla Antony
    727 - 738 (12 Pages)
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  32. 31 

    DNA Barcoding — Present Status and Future Prospects with Special Reference to Fisheries Sector


    Ranendra K. Majumdar
    739 - 762 (24 Pages)
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  33. 32 

    Advanced Spatial Planning Tools for Integrating Environmental Data into Bioinformatics and Conservation of Biodiversity


    M. JAYANTHI
    763 - 774 (12 Pages)
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  34. 33 

    Application of GPS, GIS and Related Techniques in the Diagnosis and Management of Plant Diseases


    S. Saha, A.B. Rai and B.K. Sharma
    775 - 790 (16 Pages)
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  35. 34 

    Application of Artificial Neural Network for Prediction of Rice Yields in Andaman and Nicobar Islands


    M. Balakrishnan, N. Ravisankar, R.C. Srivastava and K.Singh
    791 - 802 (12 Pages)
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  36. 35 

    Application of Innovative Biotechnological Tools in Food Processing Industries


    A.A. Fazal and G. Vidya Sagar Reddy
    803 - 846 (44 Pages)
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  37. 36 

    An Insight to Application of Computational Statistics and Computational Biology in Bioinformatics


    Ajit Kumar Roy
    847 - 948 (102 Pages)
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  38. 37 

    Advanced Statistical Methods in Bioinformatics


    Piyush Kant Rai
    949 - 964 (16 Pages)
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  39. 38 

    Areas of Application of Statistical Tools in Agricultural Bioinformatics


    C. Sarada, R. Venugopalan and K. Alivelu
    965 - 972 (8 Pages)
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  40. 39 

    Theory of Probability and its Application in Bioinformatics


    Satyabrata Pal and Subhabaha Pal
    973 - 994 (22 Pages)
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  41. 40 

    Distribution Free Tests for Microarray Data


    K. Alivelu, C. Sarada and M. Padmaiah
    995 - 1006 (12 Pages)
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  42. 41 

    Data Mining and Pattern Analysis of Molecular Data Through Principal Component Analysis


    Ravi R. Saxena, Shiv Narayan Sharma, Zenu Jha and Ritu R. Saxena
    1007 - 1038 (32 Pages)
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  43. 42 

    Data Mining and Text Mining in Bioinformatics


    Karnati Konda Reddy and Sanjeev K. Singh
    1039 - 1050 (12 Pages)
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  44. 43 

    Current Socio-economic and Environmental Issues of Genetically Modified Crops in Indian Context


    A.D. Upadhyay and D.K. Pandey
    1051 - 1070 (20 Pages)
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  45. 44 

    Overview of Ethics and Issues of Biotechnologically and Genetically Modified Crops


    Biswarup Saha
    1071 - 1138 (68 Pages)
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