Introduction to computational genomics a case studies approach
Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that...
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Cambridge University Press
2007
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100 | 1 | |a Cristianini, Nello | |
245 | 1 | 0 | |a Introduction to computational genomics |b a case studies approach |c Nello Cristianini and Matthew W. Hahn |
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520 | |a Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many universities are introducing courses to train the next generation of bioinformaticians: biologists fluent in mathematics and computer science, and data analysts familiar with biology. This readable and entertaining book, based on successful taught courses, provides a roadmap to navigate entry to this field. It guides the reader through key achievements of bioinformatics, using a hands-on approach. Statistical sequence analysis, sequence alignment, hidden Markov models, gene and motif finding and more, are introduced in a rigorous yet accessible way. A companion website provides the reader with Matlab-related software tools for reproducing the steps demonstrated in the book. | ||
700 | 1 | |a Hahn, Matthew William |d 1975- | |
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spelling | Cristianini, Nello Introduction to computational genomics a case studies approach Nello Cristianini and Matthew W. Hahn Cambridge Cambridge University Press 2007 1 Online-Ressource (xvii, 182 Seiten) txt c cr Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many universities are introducing courses to train the next generation of bioinformaticians: biologists fluent in mathematics and computer science, and data analysts familiar with biology. This readable and entertaining book, based on successful taught courses, provides a roadmap to navigate entry to this field. It guides the reader through key achievements of bioinformatics, using a hands-on approach. Statistical sequence analysis, sequence alignment, hidden Markov models, gene and motif finding and more, are introduced in a rigorous yet accessible way. A companion website provides the reader with Matlab-related software tools for reproducing the steps demonstrated in the book. Hahn, Matthew William 1975- Erscheint auch als Druck-Ausgabe 9780521671910 Erscheint auch als Druck-Ausgabe 9780521856034 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/CBO9780511808982 Volltext |
spellingShingle | Cristianini, Nello Introduction to computational genomics a case studies approach |
title | Introduction to computational genomics a case studies approach |
title_auth | Introduction to computational genomics a case studies approach |
title_exact_search | Introduction to computational genomics a case studies approach |
title_full | Introduction to computational genomics a case studies approach Nello Cristianini and Matthew W. Hahn |
title_fullStr | Introduction to computational genomics a case studies approach Nello Cristianini and Matthew W. Hahn |
title_full_unstemmed | Introduction to computational genomics a case studies approach Nello Cristianini and Matthew W. Hahn |
title_short | Introduction to computational genomics |
title_sort | introduction to computational genomics a case studies approach |
title_sub | a case studies approach |
url | https://doi.org/10.1017/CBO9780511808982 |
work_keys_str_mv | AT cristianininello introductiontocomputationalgenomicsacasestudiesapproach AT hahnmatthewwilliam introductiontocomputationalgenomicsacasestudiesapproach |