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Predicting Transcription Factor Complexes

A Novel Approach to Data Integration in Systems Biology

  • Book
  • © 2015

Overview

Authors:
  1. Thorsten Will

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

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  • Master thesis in natural sciences
  • Includes supplementary material: sn.pub/extras

Part of the book series: BestMasters (BEST)

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Table of contents (5 chapters)

  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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Keywords

About this book

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.

Authors and Affiliations

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

    Thorsten Will

About the author

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

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