Systems Medicine:
This volume guides readers through the field of systems medicine by defining the terminology, and describing how established computational methods form bioinformatics and systems biology can be taken forward to an integrative systems medicine approach. Chapters provide an outlook on the role that sy...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2016
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Ausgabe: | 1st ed. 2016 |
Schriftenreihe: | Methods in Molecular Biology
1386 |
Schlagworte: | |
Online-Zugang: | UBR01 TUM01 Volltext |
Zusammenfassung: | This volume guides readers through the field of systems medicine by defining the terminology, and describing how established computational methods form bioinformatics and systems biology can be taken forward to an integrative systems medicine approach. Chapters provide an outlook on the role that systems medicine may or should play in various medical fields, and describe different facets of the systems medicine approach in action. Ultimately it introduces tools, resources and methodologies from bioinformatics and systems biology, and how to apply these in a systems medicine project. Written for the Methods in Molecular Biology series, chapters include introductions to their respective topics, and discuss experimental and computational approaches, methods, and tools that should be considered for a successful systems medicine project. Systems Medicine aims to motivate and provide guidance for collaborations across disciplines to tackle today's challenges related to human health and well-being |
Beschreibung: | 1 Online-Ressource (XIV, 478 p. 68 illus., 61 illus. in color) |
ISBN: | 9781493932832 |
DOI: | 10.1007/978-1-4939-3283-2 |
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Datensatz im Suchindex
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isbn | 9781493932832 |
language | English |
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physical | 1 Online-Ressource (XIV, 478 p. 68 illus., 61 illus. in color) |
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spelling | Systems Medicine edited by Ulf Schmitz, Olaf Wolkenhauer 1st ed. 2016 New York, NY Springer New York 2016 1 Online-Ressource (XIV, 478 p. 68 illus., 61 illus. in color) txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1386 This volume guides readers through the field of systems medicine by defining the terminology, and describing how established computational methods form bioinformatics and systems biology can be taken forward to an integrative systems medicine approach. Chapters provide an outlook on the role that systems medicine may or should play in various medical fields, and describe different facets of the systems medicine approach in action. Ultimately it introduces tools, resources and methodologies from bioinformatics and systems biology, and how to apply these in a systems medicine project. Written for the Methods in Molecular Biology series, chapters include introductions to their respective topics, and discuss experimental and computational approaches, methods, and tools that should be considered for a successful systems medicine project. Systems Medicine aims to motivate and provide guidance for collaborations across disciplines to tackle today's challenges related to human health and well-being Life Sciences Bioinformatics Systems Biology Life sciences Systems biology Schmitz, Ulf edt Wolkenhauer, Olaf edt Erscheint auch als Druck-Ausgabe 9781493932825 https://doi.org/10.1007/978-1-4939-3283-2 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Systems Medicine Life Sciences Bioinformatics Systems Biology Life sciences Systems biology |
title | Systems Medicine |
title_auth | Systems Medicine |
title_exact_search | Systems Medicine |
title_full | Systems Medicine edited by Ulf Schmitz, Olaf Wolkenhauer |
title_fullStr | Systems Medicine edited by Ulf Schmitz, Olaf Wolkenhauer |
title_full_unstemmed | Systems Medicine edited by Ulf Schmitz, Olaf Wolkenhauer |
title_short | Systems Medicine |
title_sort | systems medicine |
topic | Life Sciences Bioinformatics Systems Biology Life sciences Systems biology |
topic_facet | Life Sciences Bioinformatics Systems Biology Life sciences Systems biology |
url | https://doi.org/10.1007/978-1-4939-3283-2 |
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