Bioinformatics: Data, Sequence Analysis and Evolution
Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biologica...
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Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Totowa, NJ
Humana Press
2008
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Schriftenreihe: | Methods in Molecular Biology™
452 |
Schlagworte: | |
Online-Zugang: | UBR01 TUM01 Volltext |
Zusammenfassung: | Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume I: Data, Sequence Analysis and Evolution examines a selection of methods involving the generation and organization of data, including sequence data, RNA and protein structures, microarray expression data and functional annotations, methods for discovering the functional components of genomes, whether they be genes, alternative splice sites, non-coding RNAs or regulatory motifs, and several of the most interesting methods in phylogenetics and evolution. As a volume of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and cutting-edge, Bioinformatics: Volume I: Data, Sequence Analysis and Evolution is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science |
Beschreibung: | 1 Online-Ressource (XII, 562 p. 136 illus., 3 illus. in color) |
ISBN: | 9781603271592 |
DOI: | 10.1007/978-1-60327-159-2 |
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Datensatz im Suchindex
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any_adam_object | |
author2 | Keith, Jonathan M. |
author2_role | edt |
author2_variant | j m k jm jmk |
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dewey-ones | 570 - Biology 572 - Biochemistry |
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dewey-sort | 3570.285 |
dewey-tens | 570 - Biology |
discipline | Biologie Informatik |
doi_str_mv | 10.1007/978-1-60327-159-2 |
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indexdate | 2024-07-10T08:05:33Z |
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isbn | 9781603271592 |
language | English |
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publisher | Humana Press |
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spelling | Bioinformatics Data, Sequence Analysis and Evolution edited by Jonathan M. Keith Totowa, NJ Humana Press 2008 1 Online-Ressource (XII, 562 p. 136 illus., 3 illus. in color) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology™ 452 Not only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume I: Data, Sequence Analysis and Evolution examines a selection of methods involving the generation and organization of data, including sequence data, RNA and protein structures, microarray expression data and functional annotations, methods for discovering the functional components of genomes, whether they be genes, alternative splice sites, non-coding RNAs or regulatory motifs, and several of the most interesting methods in phylogenetics and evolution. As a volume of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and cutting-edge, Bioinformatics: Volume I: Data, Sequence Analysis and Evolution is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science Life Sciences Bioinformatics Biochemistry, general Theory of Computation Computational Biology/Bioinformatics Statistics for Life Sciences, Medicine, Health Sciences Human Genetics Life sciences Human genetics Computers Biochemistry Statistics Evolution (DE-588)4071050-6 gnd rswk-swf RNS (DE-588)4076759-0 gnd rswk-swf Genom (DE-588)4156640-3 gnd rswk-swf Sequenzanalyse Chemie (DE-588)4132277-0 gnd rswk-swf Molekulare Bioinformatik (DE-588)4531334-9 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 9781588297075 https://doi.org/10.1007/978-1-60327-159-2 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Bioinformatics Data, Sequence Analysis and Evolution Life Sciences Bioinformatics Biochemistry, general Theory of Computation Computational Biology/Bioinformatics Statistics for Life Sciences, Medicine, Health Sciences Human Genetics Life sciences Human genetics Computers Biochemistry Statistics Evolution (DE-588)4071050-6 gnd RNS (DE-588)4076759-0 gnd Genom (DE-588)4156640-3 gnd Sequenzanalyse Chemie (DE-588)4132277-0 gnd Molekulare Bioinformatik (DE-588)4531334-9 gnd |
subject_GND | (DE-588)4071050-6 (DE-588)4076759-0 (DE-588)4156640-3 (DE-588)4132277-0 (DE-588)4531334-9 |
title | Bioinformatics Data, Sequence Analysis and Evolution |
title_auth | Bioinformatics Data, Sequence Analysis and Evolution |
title_exact_search | Bioinformatics Data, Sequence Analysis and Evolution |
title_full | Bioinformatics Data, Sequence Analysis and Evolution edited by Jonathan M. Keith |
title_fullStr | Bioinformatics Data, Sequence Analysis and Evolution edited by Jonathan M. Keith |
title_full_unstemmed | Bioinformatics Data, Sequence Analysis and Evolution edited by Jonathan M. Keith |
title_short | Bioinformatics |
title_sort | bioinformatics data sequence analysis and evolution |
title_sub | Data, Sequence Analysis and Evolution |
topic | Life Sciences Bioinformatics Biochemistry, general Theory of Computation Computational Biology/Bioinformatics Statistics for Life Sciences, Medicine, Health Sciences Human Genetics Life sciences Human genetics Computers Biochemistry Statistics Evolution (DE-588)4071050-6 gnd RNS (DE-588)4076759-0 gnd Genom (DE-588)4156640-3 gnd Sequenzanalyse Chemie (DE-588)4132277-0 gnd Molekulare Bioinformatik (DE-588)4531334-9 gnd |
topic_facet | Life Sciences Bioinformatics Biochemistry, general Theory of Computation Computational Biology/Bioinformatics Statistics for Life Sciences, Medicine, Health Sciences Human Genetics Life sciences Human genetics Computers Biochemistry Statistics Evolution RNS Genom Sequenzanalyse Chemie Molekulare Bioinformatik |
url | https://doi.org/10.1007/978-1-60327-159-2 |
work_keys_str_mv | AT keithjonathanm bioinformaticsdatasequenceanalysisandevolution |