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Condition: As New. Unread book in perfect condition.
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Predicting Transcription Factor Complexes: A Novel Approach to Data Integration in Systems Biology (BestMasters)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Predicting Transcription Factor Complexes: A Novel Approach to Data Integration in Systems Biology (BestMasters)
Language: English
Published by Springer Spektrum 2014-12-18, 2014
ISBN 10: 3658082682 ISBN 13: 9783658082680
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Predicting Transcription Factor Complexes : A Novel Approach to Data Integration in Systems Biology
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 67.23
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Predicting Transcription Factor Complexes : A Novel Approach to Data Integration in Systems Biology
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 74.77
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Predicting Transcription Factor Complexes: A Novel Approach to Data Integration in Systems Biology
Language: English
Published by Spektrum Akademischer Verlag Gmbh, 2015
ISBN 10: 3658082682 ISBN 13: 9783658082680
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Add to basketPaperback. Condition: Brand New. 2015 edition. 162 pages. 8.26x5.82x0.47 inches. In Stock.
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Predicting Transcription Factor Complexes : A Novel Approach to Data Integration in Systems Biology
Language: English
Published by Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658082682 ISBN 13: 9783658082680
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In his master thesis Thorsten Will proposes the substantial information content of protein complexes involving transcription factors in the context of gene regulatory networks, designs the first computational approaches to predict such complexes as well as their regulatory function and verifies the practicability using data of the well-studied yeast S.cereviseae. The novel insights offer extensive capabilities towards a better understanding of the combinatorial control driving transcriptional regulation.
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Buchners Kompendium Deutsche Literatur NEU
Language: German
Published by Buchner, C.C. Verlag 2023-07-13, 2023
ISBN 10: 3661100009 ISBN 13: 9783661100005
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Taschenbuch. Condition: Neu. Predicting Transcription Factor Complexes | A Novel Approach to Data Integration in Systems Biology | Thorsten Will | Taschenbuch | BestMasters | xix | Englisch | 2014 | Springer Vieweg | EAN 9783658082680 | Verantwortliche Person für die EU: Springer Spektrum in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Buchners Kompendium Deutsche Literatur NEU: Texte - Interpretationen - Kontexte
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Auflage 2023.
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Condition: fine. vendeur professionnel. envoi soigne en 24/48h. le livre peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques.
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Add to basketHardcover. Condition: Brand New. German language. 10.16x7.72x0.75 inches. In Stock.
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Wilhelm II. Archäologie und Politik um 1900.
Language: German
Published by Stuttgart, Franz Steiner Vlg.,, 2017
ISBN 10: 3515115579 ISBN 13: 9783515115575
Gr.-8°, Brosch. 140 S., mit 11 s/w-Abb Neuwertiges Ex. / Fine Copy // Die Begeisterung Kaiser Wilhelms II. für die Archäologie schlug sich nicht nur in der Förderung von Grabungen und fachwissenschaftlichen Institutionen nieder, sondern auch in eigenen Studien und Publikationen. Thorsten Beigel und Sabine Mangold-Will zeigen in diesem Band, dass das breit gefächerte, lebenslange Engagement des Deutschen Kaisers keineswegs als bloße Marotte eines überspannten Monarchen abgetan werden kann es muss vielmehr als historisch relevanter Aspekt von Wilhelms Persönlichkeit und seiner Herrschaftspraxis ernstgenommen werden. Das private wie das öffentliche kaiserliche Interesse für die Geschichte des mittelmeerisch-vorderorientalischen Altertums und seine archäologische Erschließung erklärt sich so die grundsätzliche These durch dezidiert politische, insbesondere legitimatorische Motive. Dort, wo der Kaiser die neue "Spatenwissenschaft" und mit ihr verbundene historische Zugänge für seine Zwecke passend wahrnahm, konnte dies auch zu konkreten, disziplingeschichtlich bedeutsamen Entscheidungen führen. ISBN: 9783515115575 Sprache: Deutsch Gewicht in Gramm: 282.
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Add to basketHardback. Condition: New. Auflage 2023.
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Condition: new. Questo è un articolo print on demand.
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Predicting Transcription Factor Complexes
Language: English
Published by Springer Fachmedien Wiesbaden Dez 2014, 2014
ISBN 10: 3658082682 ISBN 13: 9783658082680
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In his master thesis Thorsten Will proposes the substantial information content of protein complexes involving transcription factors in the context of gene regulatory networks, designs the first computational approaches to predict such complexes as well as their regulatory function and verifies the practicability using data of the well-studied yeast S.cereviseae. The novel insights offer extensive capabilities towards a better understanding of the combinatorial control driving transcriptional regulation. 164 pp. Englisch.
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Predicting Transcription Factor Complexes
Language: English
Published by Springer Fachmedien Wiesbaden, 2014
ISBN 10: 3658082682 ISBN 13: 9783658082680
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Master thesis in natural sciencesIn his master thesis Thorsten Will proposes the substantial information content of protein complexes involving transcription factors in the context of gene regulatory networks, designs the first computational approaches .
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Predicting Transcription Factor Complexes
Language: English
Published by Springer Vieweg Dez 2014, 2014
ISBN 10: 3658082682 ISBN 13: 9783658082680
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In his master thesis Thorsten Will proposes the substantial information content of protein complexes involving transcription factors in the context of gene regulatory networks, designs the first computational approaches to predict such complexes as well as their regulatory function and verifies the practicability using data of the well-studied yeast S.cereviseae. The novel insights offer extensive capabilities towards a better understanding of the combinatorial control driving transcriptional regulation.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.
