Introduction to computational metagenomics
Wang, Zhong
Introduction to computational metagenomics by Zhong Wang - New Jersey : World Scientific, ©2022 - xviii, 191 p. : ill. ; 24 cm
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"--
9789811242465
2022000612
Metagenomics--methods
Computational Biology--methods
QH447 / .W365 2022
572.8 / WAN-I
QU 26.5
Introduction to computational metagenomics by Zhong Wang - New Jersey : World Scientific, ©2022 - xviii, 191 p. : ill. ; 24 cm
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"--
9789811242465
2022000612
Metagenomics--methods
Computational Biology--methods
QH447 / .W365 2022
572.8 / WAN-I
QU 26.5