Predicting Transcription Factor Complexes
A Novel Approach to Data Integration in Systems Biology
(Sprache: Englisch)
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...
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Klappentext zu „Predicting Transcription Factor Complexes “
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.
Inhaltsverzeichnis zu „Predicting Transcription Factor Complexes “
Protein Complex Prediction.- Protein-Protein Interaction Networks.- Domain-Domain Interaction Networks.- Combinatorial Algorithms.- Algorithm Engineering.
Autoren-Porträt von Thorsten Will
Currently, the author is pursuing his Ph.D. at the Center for Bioinformatics in Saarbrücken, Germany.
Bibliographische Angaben
- Autor: Thorsten Will
- 2014, 2015, XIX, 142 Seiten, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658082682
- ISBN-13: 9783658082680
- Erscheinungsdatum: 18.12.2014
Sprache:
Englisch
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