Predicting Transcription Factor Complexes

1. Front Matter

   Pages I-XIX

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2. Introduction

   • Thorsten Will

   Pages 1-23

3. Related work

   • Thorsten Will

   Pages 25-43

4. Materials and Methods

   • Thorsten Will

   Pages 45-87

5. Results and Discussion

   • Thorsten Will

   Pages 89-110

6. Conclusion and Outlook

   • Thorsten Will

   Pages 111-112

7. Back Matter

   Pages 113-142

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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.

• Bioinformatics
• Gene Regulatory Networks
• Graph Algorithms
• Protein Complexes
• Transcriptional Regulation

• Center of Bioinformatics/ Chair of Computational Biology, c/o Saarland University, Saarbrücken, Germany

  Thorsten Will

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

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