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Bioinformatics for biologists / edited by Pavel Pevzner and Ron Shamir.

Contributor(s): Material type: TextTextPublication details: Cambridge ; New York : Cambridge University Press, 2011.Description: xxix, 362 p. : ill. (some col.) ; 24 cmISBN:
  • 9781107011465 (hbk.)
  • 9781107648876 (pbk.)
Subject(s): DDC classification:
  • 574.880285 PEV-SHA 23
LOC classification:
  • QH324.2 .B5474 2011
Other classification:
  • SCI029000
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"--
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Holdings
Item type Current library Call number Status Date due Barcode
Books Books Goa University Library General Stacks 574.880285 PEV-SHA (Browse shelf(Opens below)) Available 140643

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"--

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