Title Predicting transcription factor complexes : a novel approach to data integration in systems biology / Thorsten Will.

Publication Info.	Wiesbaden, [Germany] : Springer Spektrum, [2015]
	©2015

Copies

Location	Call No.	Status
University of Saint Joseph: Pope Pius XII Library - Internet	WORLD WIDE WEB E-BOOK SPRINGER	Downloadable
University of Saint Joseph patrons, please click here to access this SpringerLink resource

Description	1 online resource : illustrations.
Series	BestMasters
	BestMasters.
Bibliography	Includes bibliographical references (pages 121-142).
Note	Vendor-supplied metadata.
Summary	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.
Subject	Transcription factors.
	Genetic regulation.
	Bioinformatics.
	Proteins -- Conformation.
	SCIENCE / Life Sciences / Biochemistry
	Bioinformatics. (OCoLC)fst00832181
	Genetic regulation. (OCoLC)fst00940086
	Proteins -- Conformation. (OCoLC)fst01079725
	Transcription factors. (OCoLC)fst01154564
Genre/Form	Electronic books.
Other Form:	Print version: Predicting Transcription Factor Complexes 9783658082680 (OCoLC)895729964
ISBN	9783658082697 electronic bk.
	3658082690 electronic bk.
Standard No.	10.1007/978-3-658-08269-7 doi

-->