17 Result(s)
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Protocol
Emerging Trends in Big Data Analysis in Computational Biology and Bioinformatics in Health Informatics: A Case Study on Epilepsy and Seizures
Advanced technology innovations allow cost-effective, high-throughput profiling of biological systems. It enabled genome sequencing in days using advanced technologies (e.g., next-generation sequencing, microa...
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A Review of Computational Approach for S-system-based Modeling of Gene Regulatory Network
Inference of gene regulatory network (GRN) from time series microarray data remains as a fascinating task for computer science researchers to understand the complex biological process that occurred inside a ce...
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Identification of Culprit Genes for Different Diseases by Analyzing Microarray Data
The identification of disease-causing genes is the first and most important step toward understanding the biological mechanisms underlying a disease. Microarray analysis is one such powerful method that is wid...
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Prediction and Analysis of Transcription Factor Binding Sites: Practical Examples and Case Studies Using R Programming
Transcription factors (TFs) bind to specific regions of DNA known as transcription factor binding sites (TFBSs) and modulate gene expression by interacting with the transcriptional machinery. TFBSs are typical...
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Next-Generation Sequencing to Study the DNA Interaction
Next-generation sequencing (NGS) has transformed genomics by allowing researchers to sequence DNA and RNA at highest speed, accuracy, and cost-effectiveness. Researchers investigate DNA interactions with the h...
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Computational Inference of Gene Regulatory Network Using Genome-wide ChIP-X Data
Gene regulatory network is the architecture of transcription factors (TFs) and their gene targets, which help in controlling their expression as required by a phenotype during various environmental perturbatio...
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Molecular Modeling Techniques and In-Silico Drug Discovery
Molecular modeling is the technique to determine the overall structure of an unknown molecule, be it a small one or a macromolecule. The technique encompasses the method of screening ligand libraries for the d...
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Fluorescence Spectroscopy: A Useful Method to Explore the Interactions of Small Molecule Ligands with DNA Structures
Small molecule ligands-DNA interactions have recently received a lot of attention in the fields of life sciences, medicine, and chemical sciences. To decode these interactions, many strategies have been develo...
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Implementation of Exome Sequencing to Identify Rare Genetic Diseases
Modern high-throughput genomic testing using next-generation sequencing (NGS) has led to a significant increase in the successful diagnosis of rare genetic disorders. Recent advances in NGS tools and technique...
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New Insights into Clinical Management for Sickle Cell Disease: Uncovering the Significant Pathways Affected by the Involvement of Sickle Cell Disease
One of the severe monogenic conditions with the highest prevalence in the globe is sickle cell disease. Although the significance of chronic anemia, hemolysis, and vasculopathy has been established, hemoglobin...
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Big Data in Bioinformatics and Computational Biology: Basic Insights
The human genome was first sequenced in 1994. It took 10 years of cooperation between numerous international research organizations to reveal a preliminary human DNA sequence. Genomics labs can now sequence an...
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Big Data Analysis in Computational Biology and Bioinformatics
Advancements in high-throughput technologies, genomics, transcriptomics, and metabolomics play an important role in obtaining biological information about living organisms. The field of computational biology a...
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Hubs and Bottlenecks in Protein-Protein Interaction Networks
Protein-protein interaction networks (PPINs) represent the physical interactions among proteins in a cell. These interactions are critical in all cellular processes, including signal transduction, metabolic re...
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Deep Learning for Predicting Gene Regulatory Networks: A Step-by-Step Protocol in R
Deep learning has emerged as a powerful tool for solving complex problems, including reconstruction of gene regulatory networks within the realm of biology. These networks consist of transcription factors and ...
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Reverse Engineering in Biotechnology: The Role of Genetic Engineering in Synthetic Biology
Synthetic biology is built on genetic engineering and principles of design engineering, which provides control over the biological functions of interest. This chapter explores the uses, processes, and applicat...
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Systems Biology Approach to Analyze Microarray Datasets for Identification of Disease-Causing Genes: Case Study of Oral Squamous Cell Carcinoma
The discovery of potential disease-causing genes can aid medical progress. The post-genomic era has made this a more difficult task. Modern high-throughput methods have not solved the problem of identifying di...
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Inference of Dynamic Growth Regulatory Network in Cancer Using High-Throughput Transcriptomic Data
Growth is regulated by gene expression variation at different developmental stages of biological processes such as cell differentiation, disease progression, or drug response. In cancer, a stage-specific regul...
