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240603 ||| eng |
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|a 9789819718443
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| 100 |
1 |
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|a Mani, Indra
|e [editor]
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| 245 |
0 |
0 |
|a Multi-Omics Analysis of the Human Microbiome
|h Elektronische Ressource
|b From Technology to Clinical Applications
|c edited by Indra Mani, Vijai Singh
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| 250 |
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|a 1st ed. 2024
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2024, 2024
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| 300 |
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|a XIV, 354 p. 40 illus., 36 illus. in color
|b online resource
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| 505 |
0 |
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|a Chapter 1_An introduction to multi-omics -- Chapter 2_Technology for studying of multi-omics -- Chapter 3_Artificial intelligence and machine learning for analysis multi-omics -- Chapter 4_Bioinformatics databases and tools for analysis of multi-omics -- Chapter 5_Next-generation sequencing in metagenomics and metatranscriptomics -- Chapter 6_Metagenomics in census of microbial diversity -- Chapter 7_Metatranscriptomics, metaproteomics and metabolomics in microbial characterization -- Chapter 8 _ Fluxomics and Phenomics -- Chapter 9_Muti-omics in study of gut microbiome -- Chapter 10_Multi-omics in study of oral microbiome -- Chapter 11_Muti-omics in study of skin microbiome -- Chapter 12_Multi-omics in microbial consortium -- Chapter 13_Metagenomics in mycology -- Chapter 14_Multi-omics in viral microbiome -- Chapter 15_Multi-omics in prospecting of genes of biotechnological importance -- Chapter 16_Multi-omics and its clinical applications
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| 653 |
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|a Bioinformatics
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| 653 |
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|a Microbiology
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| 653 |
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|a Medical Microbiology
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| 653 |
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|a Medical microbiology
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| 700 |
1 |
|
|a Singh, Vijai
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-981-97-1844-3
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-97-1844-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 579
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| 520 |
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|a This book introduces the rapidly evolving field of multi-omics in understanding the human microbiome. The book focuses on the technology used to generate multi-omics data, including advances in next-generation sequencing and other high-throughput methods. It also covers the application of artificial intelligence and machine learning algorithms to the analysis of multi-omics data, providing readers with an overview of the powerful computational tools that are driving innovation in this field. The chapter also explores the various bioinformatics databases and tools available for the analysis of multi-omics data. The book also delves into the application of multi-omics technology to the study of microbial diversity, including metagenomics, metatranscriptomics, and metaproteomics. The book also explores the use of these techniques to identify and characterize microbial communities in different environments, from the gut and oral microbiome to the skin microbiome and beyond. Towards the end, it focuses on the use of multi-omics in the study of microbial consortia, including mycology and the viral microbiome. The book also explores the potential of multi-omics to identify genes of biotechnological importance, providing readers with an understanding of the role that this technology could play in advancing biotech research. Finally, the book concludes with a discussion of the clinical applications of multi-omics technology, including its potential to identify disease biomarkers and develop personalized medicine approaches. Overall, this book provides readers with a comprehensive overview of this exciting field, highlighting the potential for multi-omics to transform our understanding of the microbial world
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