Bioinformatics for biologists
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...
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Cambridge University Press
2011
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245 | 0 | 0 | |a Bioinformatics for biologists |c edited by Pavel Pevzner and Ron Shamir |
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300 | |a 1 Online-Ressource (xxix, 362 Seiten) | ||
336 | |b txt | ||
337 | |b c | ||
338 | |b cr | ||
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. | ||
700 | 1 | |a Pevzner, Pavel | |
700 | 1 | |a Shamir, Ron | |
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id | ZDB-20-CTM-CR9780511984570 |
illustrated | Not Illustrated |
indexdate | 2024-12-18T12:04:29Z |
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isbn | 9780511984570 |
language | English |
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spelling | Bioinformatics for biologists edited by Pavel Pevzner and Ron Shamir Cambridge Cambridge University Press 2011 1 Online-Ressource (xxix, 362 Seiten) txt c cr 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. Pevzner, Pavel Shamir, Ron Erscheint auch als Druck-Ausgabe 9781107011465 Erscheint auch als Druck-Ausgabe 9781107648876 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/CBO9780511984570 Volltext |
spellingShingle | Bioinformatics for biologists |
title | Bioinformatics for biologists |
title_auth | Bioinformatics for biologists |
title_exact_search | Bioinformatics for biologists |
title_full | Bioinformatics for biologists edited by Pavel Pevzner and Ron Shamir |
title_fullStr | Bioinformatics for biologists edited by Pavel Pevzner and Ron Shamir |
title_full_unstemmed | Bioinformatics for biologists edited by Pavel Pevzner and Ron Shamir |
title_short | Bioinformatics for biologists |
title_sort | bioinformatics for biologists |
url | https://doi.org/10.1017/CBO9780511984570 |
work_keys_str_mv | AT pevznerpavel bioinformaticsforbiologists AT shamirron bioinformaticsforbiologists |