Computational Systems Biology:
The recent confluence of high throughput methodology for biological data gathering, genome-scale sequencing, and computational processing power has driven a reinvention and expansion of the way we identify, infer, model, and store relationships between molecules, pathways, and cells in living organi...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Totowa, NJ
Humana Press
2009
|
| Schriftenreihe: | Methods in Molecular Biology, Methods and Protocols
541 |
| Schlagworte: | |
| Online-Zugang: | UBR01 TUM01 Volltext |
| Zusammenfassung: | The recent confluence of high throughput methodology for biological data gathering, genome-scale sequencing, and computational processing power has driven a reinvention and expansion of the way we identify, infer, model, and store relationships between molecules, pathways, and cells in living organisms. In Computational Systems Biology, expert investigators contribute chapters which bring together biological data and computational and/or mathematical models of the data to aid researchers striving to create a system that provides both predictive and mechanistic information for a model organism. The volume is organized into five major sections involving network components, network inference, network dynamics, function and evolutionary system biology, and computational infrastructure for systems biology. 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 up-to-date, Computational Systems Biology serves to motivate and inspire all those who wish to develop a complete description of a biological system |
| Beschreibung: | 1 Online-Ressource (XVIII, 587 p. 130 illus., 3 illus. in color) |
| ISBN: | 9781597452434 |
| DOI: | 10.1007/978-1-59745-243-4 |
Internformat
MARC
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Datensatz im Suchindex
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| spelling | Computational Systems Biology edited by Reneé Ireton, Kristina Montgomery, Roger Bumgarner, Ram Samudrala, Jason McDermott Totowa, NJ Humana Press 2009 1 Online-Ressource (XVIII, 587 p. 130 illus., 3 illus. in color) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology, Methods and Protocols 541 The recent confluence of high throughput methodology for biological data gathering, genome-scale sequencing, and computational processing power has driven a reinvention and expansion of the way we identify, infer, model, and store relationships between molecules, pathways, and cells in living organisms. In Computational Systems Biology, expert investigators contribute chapters which bring together biological data and computational and/or mathematical models of the data to aid researchers striving to create a system that provides both predictive and mechanistic information for a model organism. The volume is organized into five major sections involving network components, network inference, network dynamics, function and evolutionary system biology, and computational infrastructure for systems biology. 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 up-to-date, Computational Systems Biology serves to motivate and inspire all those who wish to develop a complete description of a biological system Life Sciences Bioinformatics Systems Biology Computer Appl. in Life Sciences Life sciences Systems biology Computational biology Molekulare Bioinformatik (DE-588)4531334-9 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Molekulare Bioinformatik (DE-588)4531334-9 s DE-604 Ireton, Reneé edt Montgomery, Kristina edt Bumgarner, Roger edt Samudrala, Ram edt Erscheint auch als Druck-Ausgabe 9781588299055 https://doi.org/10.1007/978-1-59745-243-4 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Computational Systems Biology Life Sciences Bioinformatics Systems Biology Computer Appl. in Life Sciences Life sciences Systems biology Computational biology Molekulare Bioinformatik (DE-588)4531334-9 gnd |
| subject_GND | (DE-588)4531334-9 (DE-588)4143413-4 |
| title | Computational Systems Biology |
| title_auth | Computational Systems Biology |
| title_exact_search | Computational Systems Biology |
| title_full | Computational Systems Biology edited by Reneé Ireton, Kristina Montgomery, Roger Bumgarner, Ram Samudrala, Jason McDermott |
| title_fullStr | Computational Systems Biology edited by Reneé Ireton, Kristina Montgomery, Roger Bumgarner, Ram Samudrala, Jason McDermott |
| title_full_unstemmed | Computational Systems Biology edited by Reneé Ireton, Kristina Montgomery, Roger Bumgarner, Ram Samudrala, Jason McDermott |
| title_short | Computational Systems Biology |
| title_sort | computational systems biology |
| topic | Life Sciences Bioinformatics Systems Biology Computer Appl. in Life Sciences Life sciences Systems biology Computational biology Molekulare Bioinformatik (DE-588)4531334-9 gnd |
| topic_facet | Life Sciences Bioinformatics Systems Biology Computer Appl. in Life Sciences Life sciences Systems biology Computational biology Molekulare Bioinformatik Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-59745-243-4 |
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