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• 001 0000605517

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• 006 m_ d

• 007 cr cn

• 008 181218s2011 enka s 000 0 eng d

• 020 __ |a 9781139142939

• 020 __ |a 9781107011465

• 040 __ |a CEPC1 |b eng |c CEPC1 |e rda

• 093 __ |a Q811.4 |2 5

• 245 00 |a Bioinformatics for biologists / |c edited by Pavel Pevzner and Ron Shamir.

• 264 _1 |a Cambridge ; |a New York : |b Cambridge University Press, |c 2011.

• 300 __ |a 1 online resource (xxix, 362 pages) : |b illustrations (some colour)

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a computer |b c |2 rdamedia

• 338 __ |a online resource |b cr |2 rdacarrier

• 500 __ |a Descriptionbasedonprintversionrecord.

• 520 __ |a 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.

• 650 _0 |a Bioinformatics.

• 700 1_ |a Pevzner, Pavel, |e editor.

• 700 1_ |a Shamir, Ron, |e editor.

• 856 4_ |u http://www.itextbook.cn/f/book/bookDetail?bookId=a1065d1ff1c54524b3d2a20f64f91a43 |z An electronic book accessible through the World Wide Web; click to view