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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2007
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xvii, 182 pages) |
| ISBN: | 9780511808982 |
| DOI: | 10.1017/CBO9780511808982 |
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| contents | The first look at a genome : sequence statistics -- All the sequence's men : gene finding -- All in the family : sequence alignment -- The boulevard of broken genes : hidden Markov methods -- Are Neanderthals among us? : variation within and between species -- Fighting HIV : natural selection at the molecular level -- SARS : a post-genomic epidemic : phylogenetic analysis -- Welcome to the hotel Chlamydia : whole genome comparisons -- The genomics of wine-making : analysis of gene expression -- A bed-time story : identification of regulatory sequences |
| ctrlnum | (ZDB-20-CBO)CR9780511808982 (OCoLC)859643004 (DE-599)BVBBV043943854 |
| dewey-full | 572.86072 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 572 - Biochemistry |
| dewey-raw | 572.86072 |
| dewey-search | 572.86072 |
| dewey-sort | 3572.86072 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| doi_str_mv | 10.1017/CBO9780511808982 |
| format | Electronic eBook |
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| spelling | Cristianini, Nello Verfasser aut Introduction to computational genomics a case studies approach Nello Cristianini and Matthew W. Hahn Cambridge Cambridge University Press 2007 1 online resource (xvii, 182 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) The first look at a genome : sequence statistics -- All the sequence's men : gene finding -- All in the family : sequence alignment -- The boulevard of broken genes : hidden Markov methods -- Are Neanderthals among us? : variation within and between species -- Fighting HIV : natural selection at the molecular level -- SARS : a post-genomic epidemic : phylogenetic analysis -- Welcome to the hotel Chlamydia : whole genome comparisons -- The genomics of wine-making : analysis of gene expression -- A bed-time story : identification of regulatory sequences 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 Datenverarbeitung Genomics / Statistical methods Computational biology Genomics / Data processing Bioinformatik (DE-588)4611085-9 gnd rswk-swf Genanalyse (DE-588)4200230-8 gnd rswk-swf 1\p (DE-588)4151278-9 Einführung gnd-content Genanalyse (DE-588)4200230-8 s Bioinformatik (DE-588)4611085-9 s 2\p DE-604 Hahn, Matthew William 1975- Sonstige oth Erscheint auch als Druckausgabe 978-0-521-67191-0 Erscheint auch als Druckausgabe 978-0-521-85603-4 https://doi.org/10.1017/CBO9780511808982 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Cristianini, Nello Introduction to computational genomics a case studies approach The first look at a genome : sequence statistics -- All the sequence's men : gene finding -- All in the family : sequence alignment -- The boulevard of broken genes : hidden Markov methods -- Are Neanderthals among us? : variation within and between species -- Fighting HIV : natural selection at the molecular level -- SARS : a post-genomic epidemic : phylogenetic analysis -- Welcome to the hotel Chlamydia : whole genome comparisons -- The genomics of wine-making : analysis of gene expression -- A bed-time story : identification of regulatory sequences Datenverarbeitung Genomics / Statistical methods Computational biology Genomics / Data processing Bioinformatik (DE-588)4611085-9 gnd Genanalyse (DE-588)4200230-8 gnd |
| subject_GND | (DE-588)4611085-9 (DE-588)4200230-8 (DE-588)4151278-9 |
| 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 |
| topic | Datenverarbeitung Genomics / Statistical methods Computational biology Genomics / Data processing Bioinformatik (DE-588)4611085-9 gnd Genanalyse (DE-588)4200230-8 gnd |
| topic_facet | Datenverarbeitung Genomics / Statistical methods Computational biology Genomics / Data processing Bioinformatik Genanalyse Einführung |
| url | https://doi.org/10.1017/CBO9780511808982 |
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