Reverse Engineering of Regulatory Networks
Springer-Verlag New York Inc.
978-1-0716-3460-8 (ISBN)
lt;p>This volume details the development of updated dry lab and wet lab based methods for the reconstruction of Gene regulatory networks (GRN). Chapters guide readers through culprit genes, in-silico drug discovery techniques, genome-wide ChIP-X data, high-Throughput Transcriptomic Data Exome Sequencing, Next-Generation Sequencing, Fuorescence Spectroscopy, data analysis in Bioinformatics, Computational Biology, and S-system based modeling of GRN. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Reverse Engineering of Regulatory Networks aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.
lt;p>1. Molecular Modeling Techniques and in-Silico Drug Discovery
Angshuman Bagchi
2. Systems Biology Approach to Analyse Microarray Datasets for Identification of Disease-Causing Genes: Case Study of Oral Squamous cell Carcinoma
Jyotsna Choubey, Olaf Wolkenhauer, and Tanushree Chatterjee
3. Fluorescence Spectroscopy: A Useful Method to Explore the Interactions of Small Molecule Ligands with DNA Structures
Sagar Bag and Sudipta Bhowmik
4. Inference of Dynamic Growth Regulatory Network in Cancer Using high-Throughput Transcriptomic Data
Aparna Chaturvedi and Anup Som
5. Implementation of Exome Sequencing to Identify Rare Genetic Diseases
Prajna Udupa and Debasish Kumar Ghosh
6. Emerging Trends in Big Data Analysis in Computational Biology and Bioinformatics in Health Informatics: A Case Study on Epilepsy and Seizures
Usha Chouhan, Rakesh Kumar Sahu, Shaifali bhatt, SonuKurmi, and Jyoti Kant Choudhari
7. New Insights into Clinical Management for Sickle-Cell Disease: Uncovering the Significance Pathways Affected By the Involvement of Sickle Cell Disease
Usha Chouhan, Trilok janghel, Shaifali bhatt , Sonu Kurmi, and Jyoti Kant Choudhari
8. A Review on Computational Approach for S-system Based Modeling of Gene Regulatory Network
Sudip Mandal and Pijush Dutta
9. Big Data in Bioinformatics and Computational Biology: Basic Insights
Aanchal Gupta, Shubham Kumar, and Ashwani Kumar
10. Identification of Culprit Genes for Different Diseases by Analysing Microarray Data
Ayushman Kumar Banerjee, Shrayana Ghosh, and Chittabrata Mal11. Big Data Analysis in Computational Biology and Bioinformatics
Prakash Kumar, Ranjit Kumar Paul, Himadri Shekhar Roy, Md. Yeasin, Ajit, and Amrit Kumar Paul
12. Prediction and Analysis of Transcription Factor Binding Sites to Understand Gene Regulation: Practical Examples and Case Studies using R Programming
Vijaykumar Yogesh Muley
13. Hubs and Bottlenecks in Protein-Protein Interaction Networks
Chandramohan Nithya, Manjari Kiran, and Hampapathalu Adimurthy Nagarajaram
14. Next-Generation Sequencing to Study the DNA Interaction
Nac Deep Learning for Predicting Gene Regulatory Networks: A Step-by-Step Protocol in R
Vijaykumar Yogesh Muley,hammai Kathiresan, Srinithi Ramachandran, and Langeswaran Kulathaivel
15. Deep Learning for Predicting Gene Regulatory Networks: A Step-by-Step Protocol in R
Vijaykumar Yogesh Muley
16. Computational inference of Gene Regulatory Network using genome-wide ChIP-X data
Samayaditya Singh, Manjari Kiran, and Pramod R. Somvanshi
17. Reverse Engineering in Biotechnology: The Role of Genetic Engineering in Synthetic Biology
Gopikrishnan Bijukumar and Pramod R. Somvanshi
| Erscheinungsdatum | 10.10.2023 |
|---|---|
| Reihe/Serie | Methods in Molecular Biology |
| Zusatzinfo | 64 Illustrations, color; 8 Illustrations, black and white; X, 327 p. 72 illus., 64 illus. in color. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
| Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie | |
| Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
| Technik ► Medizintechnik | |
| Schlagworte | Bioinformatics • Computational Biology • gene regulatory networks (GRN) • metabolic networks • modified metaheuristic |
| ISBN-10 | 1-0716-3460-7 / 1071634607 |
| ISBN-13 | 978-1-0716-3460-8 / 9781071634608 |
| Zustand | Neuware |
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