Bioinformatics for biologists / edited by Pavel Pevzner and Ron Shamir.
"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....
Saved in:
| Online Access: |
Full Text (via Cambridge) |
|---|---|
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press,
2011.
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a Bioinformatics for biologists / |c edited by Pavel Pevzner and Ron Shamir. |
| 260 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2011. | ||
| 300 | |a 1 online resource (xxix, 362 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a pt. I. Genomes -- pt. II. Gene transcription and regulation -- pt. III. Evolution -- pt. IV. Phylogeny -- pt. V. Regulatory networks. | |
| 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"-- |c Provided by publisher. | ||
| 588 | 0 | |a Print version record. | |
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Computational biology. | |
| 650 | 7 | |a Computational biology |2 fast | |
| 650 | 7 | |a Bioinformatics |2 fast | |
| 700 | 1 | |a Pevzner, Pavel. | |
| 700 | 1 | |a Shamir, Ron. | |
| 776 | 0 | 8 | |i Print version: |t Bioinformatics for biologists. |d Cambridge ; New York : Cambridge University Press, 2011 |z 9781107011465 |w (DLC) 2011022989 |w (OCoLC)730054563 |
| 856 | 4 | 0 | |u https://colorado.idm.oclc.org/login?url=https://doi.org/10.1017/CBO9780511984570 |z Full Text (via Cambridge) |
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