Reverse Engineering of Regulatory Networks

Chapter 1 Molecular Modeling Techniques and In-Silico Drug Discovery

Chapter 2 Systems Biology Approach to Analyze Microarray Datasets for Identification of Disease-Causing Genes: Case Study of Oral Squamous Cell Carcinoma

Chapter 3 Fluorescence Spectroscopy: A Useful Method to Explore the Interactions of Small Molecule Ligands with DNA Structures

Chapter 4 Inference of Dynamic Growth Regulatory Network in Cancer Using High-Throughput Transcriptomic Data

Chapter 5 Implementation of Exome Sequencing to Identify Rare Genetic Diseases

Chapter 6 Emerging Trends in Big Data Analysis in Computational Biology and Bioinformatics in Health Informatics: A Case Study on Epilepsy and Seizures

Chapter 7 New Insights into Clinical Management for Sickle Cell Disease: Uncovering the Significant Pathways Affected by the Involvement of Sickle Cell Disease

Chapter 8 A Review of Computational Approach for S-system-based Modeling of Gene Regulatory Network

Chapter 10 Identification of Culprit Genes for Different Diseases by Analyzing Microarray Data

Chapter 11 Big Data Analysis in Computational Biology and Bioinformatics

Chapter 12 Prediction and Analysis of Transcription Factor Binding Sites: Practical Examples and Case Studies Using R Programming.

Chapter 13 Hubs and Bottlenecks in Protein-Protein Interaction Networks

Chapter 14 Next-Generation Sequencing to Study the DNA Interaction.

Chapter 15 Deep Learning for Predicting Gene Regulatory Networks: A Step-by-Step Protocol in R

Chapter 16 Computational Inference of Gene Regulatory Network Using Genome-wide ChIP-X Data

Chapter 17 Reverse Engineering in Biotechnology: The Role of Genetic Engineering in Synthetic Biology