Bioinformatics for biologists / edited by Pavel Pevzner and Ron Shamir

Contributor(s):

Material type: Text

TextPublication details: Cambridge ; New York : Cambridge University Press, c2011Description: xxix, 362 p. : ill. (some col.) ; 26 cmISBN:

9781107011465 (hbk.)
9781107648876 (pbk.)

Subject(s):

Bioinformatics

Summary: "The computational education of biologists is changing to prepare students for facing the complex datasets of today’s life science research. In this concise textbook, the authors’ fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors - each a leading scientist - engage the students’ problem-solving skills, preparing them to meet the computational challenges of their life science careers"-- Provided by publisher

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Holdings ( 1 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Open Shelf	UMPLIB GAMBANG	QH324.2 .B56 2011 (Browse shelf(Opens below))	1	Available		0000068387

Includes bibliographical references and index

"The computational education of biologists is changing to prepare students for facing the complex datasets of today’s life science research. In this concise textbook, the authors’ fresh pedagogical approaches lead biology students from first principles towards computational thinking. A team of renowned bioinformaticians take innovative routes to introduce computational ideas in the context of real biological problems. Intuitive explanations promote deep understanding, using little mathematical formalism. Self-contained chapters show how computational procedures are developed and applied to central topics in bioinformatics and genomics, such as the genetic basis of disease, genome evolution or the tree of life concept. Using bioinformatic resources requires a basic understanding of what bioinformatics is and what it can do. Rather than just presenting tools, the authors - each a leading scientist - engage the students’ problem-solving skills, preparing them to meet the computational challenges of their life science careers"-- Provided by publisher