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Applied Computational Biology and Statistics in Biotechnology and Bioinformatics (Set of 2 Vols.) (Hardback, Ajit Kumar Roy)

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The book Bioinformatics and Computational Biology: Concepts, Methods, and Applications is designed to meet the growing needs of academia, researchers, and commercial ventures. It is divided into forty-four chapters, which are organized into six broad sections: Bioinformatics, Genomics and Proteomics, Phylogeny, Drug Design and Epigenomics, Advanced Computational Tools and Techniques, and Statistical Methods for Computational Biology, Data Mining, and Visualization. The final section addresses Socio Economics and Ethics. This book provides an introduction to the fundamental problems in computational molecular biology and bioinformatics, and includes basic molecular biology concepts, tools, techniques, and ways to measure sequence similarity. It also presents simple applications of searching sequence databases, methods for aligning multiple biological sequences and genomes, and the problem of gene expression and motif finding. The text aims to introduce computational biology without using formulas, presenting the biological and computational ideas in a relatively simple manner.

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Part-1: 1. Bioinformatics,Genomics and Proteomics: 01 Microarrays : Introduction, Applications and Data Analysis by Chirayu Goswami 02 Functional Genomics by Sudipa Chakravarty and Amit Chakravarty 03 Software Tools and Resources for Bioinformatics Research by Anil Raj, Jyotika Bhati and S.B. Lal 04 Databases, Web Resources and Computational Tools Useful for Bioinformatics Research by Anindya Sundar Barman and Mamta Singh 05 An Insight into Uniparental Gene Silencing and Assessment of Genomic Affinities of Different Species by R.S. Talluri 06 Bioinformatics and Biotechnological Studies in One of the Highly Valuable Plants Crocus sativus L. : A State of the Art by Hilal Khaliq, Dinesh Parmar and N.C. Sharma 07 A Review of Computational Biology and Bioinformatics Driven Research in Indian Catfish by Surajit Debnath 08 Recent Trends in Fish Genomics by N.S. Nagpure, Arunima Kumar Verma, S.P. Sngh and U.K. Sarkar 09 Advances in Proteomics : Principles, Methods and Bioinformatics by Suman Patel 10 Expressed Sequence Tags (ESTs) : Resource for in silico Prediction of SSR and SNP by Rajender Singh and Sonia Sheoran 11 Structure and Functional Analysis of The Putative beta-galactosidase in Zymomonas mobilis by S. Sheik Asraf, K.N. Rajnish and P. Gunasekaran 12 Chromosomes and Nuclear DNA Amounts to Deduce Evolutionary Relationship of The Species by R.S. Talluri 2. Phylogeny: 13 Molecular Evolution and Phylogenetic Analysis by Chirayu Goswami 14 Computational Phylogenicity of Biological Pathways : A Study of Some TCA Cycles by Losiana Nayak, Namrata Tomar and Rajat K. De 15 Plant DNA Barcoding : Molecular Phylogeny-Tracking by Nano Devices by R.S. Talluri 16 Phylogenetic Analysis of Microbes using Bioinformatic Tools by Showkat A. Lone and Jasdeep Chatrath Padaria 17 Construction of Phylogenetic Tree : Methods with An Empirical Example of rdnA Sequence by Mamta Singh and Anindya Sundar Barman 18 Barriers of Gene Flow and Crossability of Species in Relation to Phylogenic Position by R.S. Talluri 3. Drug Design and Epigenomic: 19 High Throughput Biomedical Instrumentations and Use in Medical Bioinformatics by Anjan Roy, Vikramjit Poddar and Ajit Kumar Roy 20 Epigenetic Regulation of the Genome and Personalized Medicine by Amit Chakravarty and Sudipa Chakravarty 21 Computational Toxicology : A Powerful Tool Towards the Drug Designing by Sunil Kumar Tripathi, Poonam Singh and Sanjeev K. Singh 22 Modern Quantum Mechanical Methods Applied to Accurate in Silico Drug Designing by Arpita Yadav, Minakshi Sonker and Abhay Krishna 23 Active Sites Prediction on Molecular Modeling Studies by Selvaraj C., Sunil Kumar Tripathi and Sanjeev Kumar Singh 24 Bioinformatics Approaches in Phytoremediation by Sudeep Roy, Dwijendra K. Gupta and Ashok Sharma Part-2: 4. Advanced Computational Tools and Techniques: 25 Machine Learning Methods for Bioinformatics by H.C. Verma 26 Biclustering of Gene Microarray Data Using Multi-objective Evolutionary Optimization Algorithms by Sourav Sikdar, Arghya Kumar Pal, Veera Talukdar and Amit Konar 27 Computational Approaches to Protein Domain Identification by Nita Parekh 28 Computational Methods in Protein Engineering and Design by Divya P. Syamaladevi 29 Conceptualization of Converging Nanotechnology and Bioinformatics : Applications in Medicine by Abhishek Shukla, Pranjal Chandra, Pallavi Somvanshi, Tanmaya Kumar Sahu, Neelima Garg, Muthukumar M. and Bhartendu Nath Mishra 30 Potential Web Based Computational and Communicational Tools to Impact Agriculture in India by Acushla Antony 31 DNA Barcoding Present Status and Future Prospects with Special Reference to Fisheries Sector by Ranendra K. Majumdar 32 Advanced Spatial Planning Tools for Integrating Environmental Data into Bioinformatics and Conservation of Biodiversity by M. Jayanthi 33 Application of GPS,GIS and Related Techniques in the Diagnosis and Management of Plant Diseases by S. Saha, A.B. Rai and B.K. Sharma 34 Application of Artificial Neural Network for Prediction of Rice Yields in Andaman and Nicobar Islands by M. Balakrishnan, N. Ravisankar, R.C. Srivastava and K. Singh 35 Application of Innovative Biotechnological Tools in Food Processing Industries by A.A. Fazal and G. Vidya Sagar Reddy 5. Statistical Methods for Computational Biology, Data Mining and Visualisation: 36 An Insight to Application of Computational Statistics and Computational Biology in Bioinformatics by Ajit Kumar Roy 37 Advanced Statistical Methods in Bioinformatics by Piyush Kant Rai 38 Areas of Application of Statistical Tools in Agricultural Bioinformatics by C. Sarada, R. Venugopalan and K. Alivelu 39 Theory of Probability and its Application in Bioinformatics by Satyabrata Pal and Subhabaha Pal 40 Distribution Free Tests for Microarray Data by K. Alivelu, C. Sarada and M. Padmaiah 41 Data Mining and Pattern Analysis of Molecular Data Through Principal Component Analysis by Ravi R. Saxena, Shiv Narayan Sharma, Zenu Jha and Ritu R. Saxena 42 Data Mining and Text Mining in Bioinformatics by Karnati Konda Reddy and Sanjeev K. Singh 6. Socio Economics and Ethics: 43 Current Socio-economic and Environmental Issues of Genetically Modified Crops in Indian Context by A.D. Upadhyay and D.K. Pandey 44 Overview of Ethics and Issues of Biotechnologically and Genetically Modified Crops by Biswarup Saha

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Format Hardback
Author Ajit Kumar Roy
Sections Breakdown 1. Bioinformatics, Genomics and Proteomics 2. Phylogeny 3. Drug Design and Epigenomics 4. Advanced Computational Tools and Techniques 5. Statistical Methods for Computational Biology 6. Socio Economics and Ethics
ISBN 978-XXXX-XXXX-X
Publication Year 2023
Pages Varies with chapters

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Common questions B2B buyers ask before sourcing Applied Computational Biology and Statistics in Biotechnology and Bioinformatics (Set of 2 Vols.) (Hardback, Ajit Kumar Roy). Answers compiled from verified sellers' commercial terms and platform data.

Q: What are the main sections covered in this book?
A: The book is organized into six main sections: Bioinformatics, Genomics and Proteomics, Phylogeny, Drug Design and Epigenomics, Advanced Computational Tools and Techniques, and Statistical Methods for Computational Biology.
Q: Is this book suitable for beginners in computational biology?
A: Yes, the book aims to introduce computational biology concepts without complex formulas, making it accessible for beginners.
Q: What kind of applications are discussed in the chapters?
A: The book discusses various applications including sequence database searching, gene expression analysis, motif finding, and advanced computational techniques.
Q: Who are the contributors to this book?
A: The book comprises contributions from various scholars and experts in bioinformatics and computational biology.
Q: When was the book published?
A: The book was published in 2023.
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Applied Computational Biology and Statistics in Biotechnology and Bioinformatics (Set of 2 Vols.) (Hardback, Ajit Kumar Roy)
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