Introduction to Bioinformatics in Microbiology

By:

Henrik Christensen

Material type: Text

TextPublication details: Springer 2018Description: x,213pISBN:

9783319992792

Subject(s):

Microbiology; Biotechnology ; Bioinformatics

DDC classification:

579 INT

Summary: This textbook introduces to the basic concepts of bioinformatics and enhances students' skills in using software and tools relevant for investigations in microbiology. The most relevant methods to analyze data are shown and readers are introduced on how to draw valid conclusions based on the results obtained. Software and servers which are free to use on the internet are presented and more advanced stand-alone programs are suggested as a second option. Exercises and training quizzes are provided at the end of each chapter to facilitate learning. The book targets Ph. D. students and advanced undergraduates in microbiology, biotechnology, and (veterinary) medicine with little to basic knowledge in bioinformatics.

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Holdings
Item type	Current library	Home library	Collection	Call number	Status	Barcode
Book	Dept. of Biochemistry General Stacks	Dept. of Biochemistry	Non-fiction	579 INT (Browse shelf(Opens below))	Available	BCH3926
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics		579 INT (Browse shelf(Opens below))	Available	DCB3744
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics		579 INT (Browse shelf(Opens below))	Available	DCB3522

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Previous	579 ANA-T Textbook of microbiology / Ananthanarayan and Paniker	579 FOS-M Microbiology: the human experience/	579 FOS-M Microbiology: the human experience/	579 INT Introduction to Bioinformatics in Microbiology	579 SWA-M Microbe	579.2 CAN-P;1 Principles of molecular virology /	579.2 DIM-I Introduction to modern virology /	Next

This textbook introduces to the basic concepts of bioinformatics and enhances students' skills in using software and tools relevant for investigations in microbiology. The most relevant methods to analyze data are shown and readers are introduced on how to draw valid conclusions based on the results obtained. Software and servers which are free to use on the internet are presented and more advanced stand-alone programs are suggested as a second option. Exercises and training quizzes are provided at the end of each chapter to facilitate learning. The book targets Ph. D. students and advanced undergraduates in microbiology, biotechnology, and (veterinary) medicine with little to basic knowledge in bioinformatics.

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