Predicting Transcription Factor Complexes

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A Novel Approach to Data Integration in Systems Biology, BestMasters

ISBN: 3658082682
ISBN 13: 9783658082680
Autor: Will, Thorsten
Verlag: Springer Spektrum
Umfang: xix, 142 S., 29 s/w Illustr., 142 p. 29 illus.
Erscheinungsdatum: 18.12.2014
Auflage: 1/2015
Produktform: Kartoniert
Einband: Kartoniert

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. Contents Protein Complex Prediction ProteinProtein Interaction Networks DomainDomain Interaction Networks Combinatorial Algorithms Algorithm Engineering  Target Groups – Computational biologists and biologists working with gene regulatory networks Computer scientists interested in biological issues  The AuthorCurrently, the author is pursuing his Ph.D. at the Center for Bioinformatics in Saarbrücken, Germany. 

Artikelnummer: 7476696 Kategorie:

Beschreibung

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.

Autorenporträt

Currently, the author is pursuing his Ph.D. at the Center for Bioinformatics in Saarbrücken, Germany.

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E-Mail: juergen.hartmann@springer.com

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