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Soft Computing for Biological Systems

✍ Scribed by Hemant J. Purohit,Vipin Chandra Kalia,Ravi Prabhakar More (eds.)


Publisher
Springer Singapore
Year
2018
Tongue
English
Leaves
301
Edition
1
Category
Library

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✦ Synopsis


This book explains how the biological systems and their functions are driven by genetic information stored in the DNA, and their expression driven by different factors. The soft computing approach recognizes the different patterns in DNA sequence and try to assign the biological relevance with available information.The book also focuses on using the soft-computing approach to predict protein-protein interactions, gene expression and networks. The insights from these studies can be used in metagenomic data analysis and predicting artificial neural networks.

✦ Table of Contents


Front Matter ....Pages i-xii
Current Scenario on Application of Computational Tools in Biological Systems (Hemant J. Purohit, Hitesh Tikariha, Vipin Chandra Kalia)....Pages 1-12
Diagnostic Prediction Based on Gene Expression Profiles and Artificial Neural Networks (Eugene Lin, Shih-Jen Tsai)....Pages 13-22
Soft Computing Approaches to Extract Biologically Significant Gene Network Modules (Swarup Roy, Hazel Nicolette Manners, Monica Jha, Pietro H. Guzzi, Jugal K. Kalita)....Pages 23-37
A Hybridization of Artificial Bee Colony with Swarming Approach of Bacterial Foraging Optimization for Multiple Sequence Alignment (R. Ranjani Rani, D. Ramyachitra)....Pages 39-65
Construction of Gene Networks Using Expression Profiles (Harun Pirim)....Pages 67-89
Bioinformatics Tools for Shotgun Metagenomic Data Analysis (Rajesh Ramavadh Pal, Ravi Prabhakar More, Hemant J. Purohit)....Pages 91-110
Protein-protein Interactions: Basics, Characteristics, and Predictions (Angshuman Bagchi)....Pages 111-120
Machine Learning Framework: Predicting Protein Structural Features (Pramod Kumar, Vandana Mishra, Subarna Roy)....Pages 121-141
Drug Transporters as Therapeutic Targets: Computational Models, Challenges, and Future Perspective (Deepak Singla, Ritika Bishnoi, Sandeep Kumar Dhanda, Shailendra Asthana)....Pages 143-168
Module-Based Knowledge Discovery for Multiple-Cytosine-Variant Methylation Profile (Saurav Mallik, Ujjwal Maulik)....Pages 169-186
Outlook of Various Soft Computing Data Preprocessing Techniques to Study the Pest Population Dynamics in Integrated Pest Management (M. Pratheepa, J. Cruz Antony)....Pages 187-200
Genomics for Oral Cancer Biomarker Research (Kavitha Prasad, Roopa S. Rao, Rupali C. Mane)....Pages 201-223
Soft Computing Methods and Tools for Bacteria DNA Barcoding Data Analysis (Ravi Prabhakar More, Hemant J. Purohit)....Pages 225-240
Fish DNA Barcoding: A Comprehensive Survey of Bioinformatics Tools and Databases (Rupali C. Mane, Ganesh Hegde, Ravi Prabhakar More, Rajesh Ramavadh Pal, Hemant J. Purohit)....Pages 241-251
Microbes and Mountains: The Mid-Domain Effect on Mt. Fuji, Japan (Dharmesh Singh)....Pages 253-263
Integration of Soft Computing Approach in Plant Biology and Its Applications in Agriculture (Archana Kumari, Minu Kesheri, Rajeshwar P. Sinha, Swarna Kanchan)....Pages 265-281
Future Perspectives of Computational Biology: Demanding Shifts in Analytical Thinking to Unfold Biological Complexities (Hemant J. Purohit, Hitesh Tikariha, Vipin Chandra Kalia)....Pages 283-293
Back Matter ....Pages 295-300

✦ Subjects


Bioinformatics


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