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Integrative Omics: Concepts, Methodology, and Application
Integrative Omics: Concepts, Methodology, and Application
https://shop.elsevier.com/books/integrative-omics/gupta/978-0-443-16092-9
1st Edition - April 1, 2024
Editors: Manish Kumar Gupta, Pramod Katara, Sukanta Mondal, Ram Lakhan Singh
Paperback ISBN: 9780443160929
eBook ISBN: 9780443160936
Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference provides systemic ‘step-by-step’ coverage that begins with basic concepts from Omic to Multi Integrative Omics approaches followed by applications and emerging and future trends. All areas of Omics are covered, including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics, technology policy, and society research. This book covers recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science.
Edited Book: "Recent Trends in ‘Computational Omics: Concepts and Methodology".
(Nova Science Publishers-USA; ISBN: 978-1-53617-941-5)
Contents
Chapter 1 :Integrative Omics: Current Status and Future Directions
A. Yadav, S. Vishwakarma, N. Krishna, P. KataraChapter 2: Database Resources for Computational Omics
A. Kumar, K. SinhaChapter 3: Algorithms in Bioinformatics
B.GautamChapter 4: Recent Trends in ‘Computational Transcriptomics’
P. Katara, N. Krishna, A. Yadav, S. VishwakarmaChapter 5: Single-Cell Rna Sequencing Technologies and Computational Analysis
I. KhatriChapter 6: Computational Analysis of Metabol(Om)Ic Networks
S. BalajiChapter 7: Immuno-Informatics- Computational Trends in Immuno-Oncogenomics
M. Verma, A. M. LynnChapter 8: Omics in Cancer: From Diagnostics to Therapeutics
S. Maurya, V. Chandel, S. Raj, A. Upadhyay, C. Tandon, D. KumarChapter 9: Role of Computational Network Approach in The Area of Cancer Clinical Research
R. Singh, A. SomChapter 10: Bioinformatics Resources for The Prediction of Cancer Prognosis And Its Recurrence
A. Haldar, K. Yadav, P. Katara, A.K SinghChapter 11: Computational Metagenomics: Current Status And Challenges
S. Kanchan, R. P. Sinha, J. Chaudière, M. KesheriChapter 12: Integrated Omics For Dissecting Host-Pathogen Interaction: Challenges And Opportunities
R. Kumar Pathak, D. B. SinghChapter 13: Development And Analysis Of Simple Sequence Repeats In Chloroplast Genomes Of Genus Saccharum: A Computational Study
S. Kumar, K. Kumari, A. Singh, K. Kumar, A. Singh, A. Shanker
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