Predicting Transcription Factor Complexes
Thorsten Will
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Description for Predicting Transcription Factor Complexes
Paperback. Predicting Transcription Factor Complexes Series: BestMasters. Num Pages: 161 pages, 29 black & white illustrations, 17 black & white tables, biography. BIC Classification: PDE; PSD. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 10. Weight in Grams: 224.
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.
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.
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
161
Condition
New
Series
BestMasters
Number of Pages
142
Place of Publication
Weisbaden, Germany
ISBN
9783658082680
SKU
V9783658082680
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Thorsten Will
Currently, the author is pursuing his Ph.D. at the Center for Bioinformatics in Saarbrücken, Germany.
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