Reverse Engineering of Regulatory Networks

Molecular Modeling Techniques and in-Silico Drug Discovery.-&nbsp;Systems Biology Approach to Analyse Microarray Datasets for Identification of Disease-Causing Genes: Case Study of Oral Squamous cell Carcinoma.-&nbsp;Fluorescence Spectroscopy: A Useful Method to Explore the Interactions of Small Molecule Ligands with DNA Structures.-&nbsp;Inference of Dynamic Growth Regulatory Network in Cancer Using high-Throughput Transcriptomic Data.-&nbsp;Implementation of Exome Sequencing to Identify Rare Genetic Diseases.-&nbsp;Emerging Trends in&nbsp;Big Data Analysis in Computational Biology and Bioinformatics in Health Informatics: A Case Study on Epilepsy and Seizures.-&nbsp;New Insights into Clinical Management for Sickle-Cell Disease: Uncovering the Significance Pathways Affected By the Involvement of Sickle Cell Disease.-&nbsp;A Review on Computational Approach for S-system Based Modeling of Gene Regulatory Network.-&nbsp;Big Data in Bioinformatics and Computational Biology: Basic Insights.-&nbsp;Identification of Culprit Genes for Different Diseases by Analysing Microarray Data.-&nbsp;Big Data Analysis in Computational Biology and Bioinformatics.-&nbsp;Prediction and Analysis of Transcription Factor Binding Sites to Understand Gene Regulation: Practical Examples and Case Studies using R Programming.-&nbsp;Hubs and Bottlenecks in Protein-Protein Interaction Networks.-&nbsp;Next-Generation Sequencing to Study the DNA Interaction&nbsp;Nac Deep Learning for Predicting Gene Regulatory Networks: A Step-by-Step Protocol in R.-&nbsp;Deep Learning for Predicting Gene Regulatory Networks: A Step-by-Step Protocol in R.-&nbsp;Computational inference of Gene Regulatory Network using genome-wide ChIP-X data.-&nbsp;Reverse Engineering in Biotechnology: The Role of Genetic Engineering in Synthetic Biology.<p><br></p>