Predicting Transcription Factor Complexes
A Novel Approach to Data Integration in Systems Biology
Seiten
2014
|
2015
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-08268-0 (ISBN)
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-08268-0 (ISBN)
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.
Currently, the author is pursuing his Ph.D. at the Center for Bioinformatics in Saarbrücken, Germany.
Protein Complex Prediction.- Protein-Protein Interaction Networks.- Domain-Domain Interaction Networks.- Combinatorial Algorithms.- Algorithm Engineering.
Erscheint lt. Verlag | 18.12.2014 |
---|---|
Reihe/Serie | BestMasters |
Zusatzinfo | XIX, 142 p. 29 illus. |
Verlagsort | Wiesbaden |
Sprache | englisch |
Maße | 148 x 210 mm |
Gewicht | 224 g |
Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
Schlagworte | Bioinformatics • gene regulatory networks • Graph Algorithms • Protein complexes • transcriptional regulation |
ISBN-10 | 3-658-08268-2 / 3658082682 |
ISBN-13 | 978-3-658-08268-0 / 9783658082680 |
Zustand | Neuware |
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