Bioinformatics: Volume I: Data, Sequence Analysis, and Evolution
This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is comprised of three sections: Data an...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
2017
|
| Ausgabe: | 2nd ed. 2017 |
| Schriftenreihe: | Methods in Molecular Biology
1525 |
| Schlagworte: | |
| Online-Zugang: | UBR01 TUM01 Volltext |
| Zusammenfassung: | This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is comprised of three sections: Data and Databases, Sequence Analysis, and Phylogenetics and Evolution. The first section details bioinformatics methodologies in the generation of sequence and structural data and its organization into conceptual categories, and databases to facilitate further analyses. The Sequence Analysis section describes the fundamental methodologies for processing the sequences of biological molecules: techniques that are used in almost every pipeline of bioinformatics analysis, particularly in the preliminary stages of such pipelines. Last but not least, the phylogenetics and evolution section deals with methodologies that compare biological sequences for the purpose of understanding how they evolved. As a volume in the highly successful Methods in Molecular Biology series, chapters feature the kind of detail and expert implementation advice to ensure positive results. Comprehensive and practical, Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is an essential resource for graduate students, early career researchers, and others who are in the process of integrating new bioinformatics methods into their research |
| Beschreibung: | 1 Online-Ressource (X, 491 p. 117 illus., 81 illus. in color) |
| ISBN: | 9781493966226 |
| DOI: | 10.1007/978-1-4939-6622-6 |
Internformat
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Datensatz im Suchindex
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| dewey-ones | 570 - Biology |
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| discipline | Biologie |
| doi_str_mv | 10.1007/978-1-4939-6622-6 |
| edition | 2nd ed. 2017 |
| format | Electronic eBook |
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| indexdate | 2024-07-10T08:05:37Z |
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| isbn | 9781493966226 |
| language | English |
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| spelling | Bioinformatics Volume I: Data, Sequence Analysis, and Evolution edited by Jonathan M. Keith 2nd ed. 2017 New York, NY Springer New York 2017 1 Online-Ressource (X, 491 p. 117 illus., 81 illus. in color) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1525 This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is comprised of three sections: Data and Databases, Sequence Analysis, and Phylogenetics and Evolution. The first section details bioinformatics methodologies in the generation of sequence and structural data and its organization into conceptual categories, and databases to facilitate further analyses. The Sequence Analysis section describes the fundamental methodologies for processing the sequences of biological molecules: techniques that are used in almost every pipeline of bioinformatics analysis, particularly in the preliminary stages of such pipelines. Last but not least, the phylogenetics and evolution section deals with methodologies that compare biological sequences for the purpose of understanding how they evolved. As a volume in the highly successful Methods in Molecular Biology series, chapters feature the kind of detail and expert implementation advice to ensure positive results. Comprehensive and practical, Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is an essential resource for graduate students, early career researchers, and others who are in the process of integrating new bioinformatics methods into their research Life Sciences Bioinformatics Life sciences Sequenzanalyse Chemie (DE-588)4132277-0 gnd rswk-swf Genom (DE-588)4156640-3 gnd rswk-swf Molekulare Bioinformatik (DE-588)4531334-9 gnd rswk-swf Evolution (DE-588)4071050-6 gnd rswk-swf RNS (DE-588)4076759-0 gnd rswk-swf RNS (DE-588)4076759-0 s Sequenzanalyse Chemie (DE-588)4132277-0 s Molekulare Bioinformatik (DE-588)4531334-9 s DE-604 Genom (DE-588)4156640-3 s Evolution (DE-588)4071050-6 s Keith, Jonathan M. edt Erscheint auch als Druck-Ausgabe 9781493966202 https://doi.org/10.1007/978-1-4939-6622-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Bioinformatics Volume I: Data, Sequence Analysis, and Evolution Life Sciences Bioinformatics Life sciences Sequenzanalyse Chemie (DE-588)4132277-0 gnd Genom (DE-588)4156640-3 gnd Molekulare Bioinformatik (DE-588)4531334-9 gnd Evolution (DE-588)4071050-6 gnd RNS (DE-588)4076759-0 gnd |
| subject_GND | (DE-588)4132277-0 (DE-588)4156640-3 (DE-588)4531334-9 (DE-588)4071050-6 (DE-588)4076759-0 |
| title | Bioinformatics Volume I: Data, Sequence Analysis, and Evolution |
| title_auth | Bioinformatics Volume I: Data, Sequence Analysis, and Evolution |
| title_exact_search | Bioinformatics Volume I: Data, Sequence Analysis, and Evolution |
| title_full | Bioinformatics Volume I: Data, Sequence Analysis, and Evolution edited by Jonathan M. Keith |
| title_fullStr | Bioinformatics Volume I: Data, Sequence Analysis, and Evolution edited by Jonathan M. Keith |
| title_full_unstemmed | Bioinformatics Volume I: Data, Sequence Analysis, and Evolution edited by Jonathan M. Keith |
| title_short | Bioinformatics |
| title_sort | bioinformatics volume i data sequence analysis and evolution |
| title_sub | Volume I: Data, Sequence Analysis, and Evolution |
| topic | Life Sciences Bioinformatics Life sciences Sequenzanalyse Chemie (DE-588)4132277-0 gnd Genom (DE-588)4156640-3 gnd Molekulare Bioinformatik (DE-588)4531334-9 gnd Evolution (DE-588)4071050-6 gnd RNS (DE-588)4076759-0 gnd |
| topic_facet | Life Sciences Bioinformatics Life sciences Sequenzanalyse Chemie Genom Molekulare Bioinformatik Evolution RNS |
| url | https://doi.org/10.1007/978-1-4939-6622-6 |
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