Fundamental Concepts of Bioinformatics

Material type: Text

TextDescription: 314ISBN:

8129700441

Subject(s):

Bioinformatics

DDC classification:

572.8 KRA-F

Summary: Fundamental Concepts of Bioinformatics is the first textbook co-authored by a biologist and computer scientist that is specifically designed to make bioinformatics accessible to undergraduates and prepare them for more advanced work. Students learn what programs are available for analyzing data, how to understand the basic algorithms that underlie these programs, what bioinformatic research is like, and other basic concepts. Information flows easily from one topic to the next, with enough detail to support the major concepts without overwhelming students. Problems at the end of each chapter use real data to help students apply what they have learned so they know how to critically evaluate results from both a statistical and biological point of view.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	572.8 KRA-F (Browse shelf(Opens below))	Available		DCB102
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	572.8 KRA-F (Browse shelf(Opens below))	Available		DCB138

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Previous	572.8 IGN-B Basic Bioinformatics	572.8 KOT-I An Introduction to Bioinformatics	572.8 KRA-F Fundamental Concepts of Bioinformatics	572.8 KRA-F Fundamental Concepts of Bioinformatics	572.8 KUP-B Bioinformatics	572.8 LES-I Introduction to Bioinformatics	572.8 LES-I Introduction to Bioinformatics	Next

Fundamental Concepts of Bioinformatics is the first textbook co-authored by a biologist and computer scientist that is specifically designed to make bioinformatics accessible to undergraduates and prepare them for more advanced work. Students learn what programs are available for analyzing data, how to understand the basic algorithms that underlie these programs, what bioinformatic research is like, and other basic concepts. Information flows easily from one topic to the next, with enough detail to support the major concepts without overwhelming students. Problems at the end of each chapter use real data to help students apply what they have learned so they know how to critically evaluate results from both a statistical and biological point of view.

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