Introduction to computational metagenomics
Material type: TextPublication details: New Jersey : World Scientific, ©2022Description: xviii, 191 p. : ill. ; 24 cmISBN:- 9789811242465
- 572.8 WAN-I
- QH447 .W365 2022
- QU 26.5
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | Course reserves |
---|---|---|---|---|---|---|---|---|---|
Books | IIITD Reference | Biology | CB 572.8 WAN-I (Browse shelf(Opens below)) | Checked out | DBT Project Grant | 07/10/2024 | 012691 | ||
Books | IIITD Reference | Biology | CB 572.8 WAN-I (Browse shelf(Opens below)) | Checked out | DBT Project Grant | 15/10/2024 | 012692 | ||
Books | IIITD Reference | Biology | REF 572.8 WAN-I (Browse shelf(Opens below)) | Not for loan | 011372 |
Browsing IIITD shelves, Shelving location: Reference, Collection: Biology Close shelf browser (Hides shelf browser)
REF 572.8 HIG-B Bioinformatics and molecular evolution | REF 572.8 SAI-I Introduction to evolutionary genomics | REF 572.8 SCH-T Theoretical molecular biophysics | REF 572.8 WAN-I Introduction to computational metagenomics | REF 572.8 WAT-M Molecular biology of the gene | REF 572.8 WIl-S Stochastic modelling for systems biology | REF 572.8 WIL-S Stochastic modelling for systems biology |
Includes bibliographical references (pages 173-187) and index.
1. Computational metagenomics : a metagenomics perspective 2. Computational metagenomics : a data engineering perspective 3. Computational metagenomics : an algorithmic perspective 4. Hardware and software aspects for scalable analysis 5. Metagenomics data quality improvement 6. Exploring community diversity : taxonomic analyses 7. Functional metagenomics : gene and pathway-based analyses 8. Deconvolute community metagenome into single genomes 9. Single cell metagenomics 10. Interactions between microbes and their environment.
"This interdisciplinary book is essential reading for those who are interested in beginning their own journey in computational metagenomics. It is a prism to look through various intricate computational metagenomics problems and unravel their three distinctive aspects: metagenomics, data engineering, and algorithms. Graduate students and advanced undergraduates from genomics science or computer science fields will find that the concepts explained in this book can serve as stepping stones for more advanced topics, while metagenomics practitioners and researchers from similar disciplines may use it to broaden their knowledge or identify new research targets"--
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