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Brock biology of microorganisms / Michael T Madigan,...[et al.]
Boston : Benjamin Cummings, 2014
1030 p. : illustrations ; 28 cm.
Ký hiệu phân loại (DDC): 579
Intended for majors and mixed majors courses in Introductory Microbiology in departments of biology and microbiology, this is a text for introductory microbiology. It balances the modern coverage with the major classical concepts useful for understanding microbiology.
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(1)
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2
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Essential microbiology / Stuart Hogg
West Sussex ; Hoboken, NJ : John Wiley and Sons, 2005
viii, 468 pages. : illustrations ; 26 cm
Ký hiệu phân loại (DDC): 579
Essential Microbiology' is a comprehensive introduction to the subject, providing a balanced, modern approach by using carefully developed teaching tools such as definition boxes, chapter overviews and summaries, key points and discussion questions.
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3
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Microbes :concepts and applications /Prakash S. Bisen, Mousumi Debnath, Godavarthi B.K.S. Prasad.
Hoboken, N.J. :Wiley-Blackwell,2012.
xv, 699 p. :ill. (some col.) ;26 cm.
Ký hiệu phân loại (DDC): 616.9
"This book connects the basic biology of microbes, microbial biodiversity, advances in microbialomics, and the role microbes play in modern biotechnology, agriculture, food science, and environmental remediation. In short, it offers the most complete treatment of microbial biology available. Each chapter contains a detailed account of what is known about the microbes and how key discoveries were made, the latest advances in microbialomics, and future directions, many of which may inspire current undergraduate and graduate students in their own research in medicine, biotechnology, or environmental science"--
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4
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Statistical analysis of microbiome data / Somnath Datta, Subharup Guha (editor)
Cham, Switzerland : Springer Nature Switzerland AG, 2021
xiv, 346 pages : illustrations, charts (some color) ; 24 cm.
Ký hiệu phân loại (DDC): 579.015
This book provides a comprehensive overview of the state of the art in statistical and informatics technologies for microbiome research. In addition to reviewing demonstrably successful cutting-edge methods, particular emphasis is placed on examples in R that rely on available statistical packages for microbiome data. With its wide-ranging approach, the book benefits not only trained statisticians in academia and industry involved in microbiome research, but also other scientists working in microbiomics and in related fields.
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5
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