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003			IIITD
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008			220106s2022 njua b 001 0 eng
010			_a 2022000612
020			_a9789811242465
040			_aDNLM/DLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQH447 _b.W365 2022
060	0	0	_aQU 26.5
082	0	0	_a572.8 _bWAN-I
100	1		_aWang, Zhong
245	1	0	_aIntroduction to computational metagenomics _cby Zhong Wang
260			_aNew Jersey : _bWorld Scientific, _c©2022
300			_axviii, 191 p. : _bill. ; _c24 cm
504			_aIncludes bibliographical references (pages 173-187) and index.
505			_t1. Computational metagenomics : a metagenomics perspective _t2. Computational metagenomics : a data engineering perspective _t3. Computational metagenomics : an algorithmic perspective _t4. Hardware and software aspects for scalable analysis _t5. Metagenomics data quality improvement _t6. Exploring community diversity : taxonomic analyses _t7. Functional metagenomics : gene and pathway-based analyses _t8. Deconvolute community metagenome into single genomes _t9. Single cell metagenomics _t10. Interactions between microbes and their environment.
520			_a"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"--
650	1	2	_aMetagenomics _xmethods
650	1	2	_aComputational Biology _xmethods
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _07
999			_c170762 _d170762