BMC Bioinformatics

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This article is part of the supplement: Otto Warburg International Summer School and Workshop on Networks and Regulation

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Inferring cellular networks – a review

Florian Markowetz* and Rainer Spang

BMC Bioinformatics 2007, 8(Suppl 6):S5 doi:10.1186/1471-2105-8-S6-S5

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Identification of transcription factor's targets using tissue-specific transcriptomic data in Arabidopsis thaliana

Gyan Srivastava, Ping Li, Jingdong Liu, Dong Xu BMC Systems Biology 2010, 4(Suppl 2):S2 (13 September 2010)

Research   Open Access Highly Accessed

A human functional protein interaction network and its application to cancer data analysis

Guanming Wu, Xin Feng, Lincoln Stein Genome Biology 2010, 11:R53 (19 May 2010)

A high-quality human functional protein interaction network is constructed. Its utility is demonstrated in the identification of cancer candidate genes.

Research article   Open Access

Reconstructing nonlinear dynamic models of gene regulation using stochastic sampling

Johanna Mazur, Daniel Ritter, Gerhard Reinelt, Lars Kaderali BMC Bioinformatics 2009, 10:448 (28 December 2009)

Proceedings   Open Access

MINER: exploratory analysis of gene interaction networks by machine learning from expression data

Sidath Kadupitige, Kin Leung, Julia Sellmeier, Jane Sivieng, Daniel R Catchpoole, Michael E Bain, Bruno A Gaƫta BMC Genomics 2009, 10(Suppl 3):S17 (3 December 2009)

Preface   Open Access

The Otto Warburg International Summer School and Workshop on Networks and Regulation

Peter F Arndt, Martin Vingron BMC Bioinformatics 2007, 8(Suppl 6):S1 (27 September 2007)