Open Access Highly Accessed Methodology article

How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis

Robert Lehmann12*, Rainer Machné3, Jens Georg4, Manuela Benary1, Ilka M Axmann12 and Ralf Steuer15

Author Affiliations

1 Institute for Theoretical Biology, Humboldt University Berlin, Invalidenstraße 43, Berlin, D-10115, Germany

2 Institute for Theoretical Biology, Charité Universitätsmedizin, Invalidenstraße 43, Berlin, D-10115, Germany

3 Institute for Theoretical Chemistry, University of Vienna, Währingerstraße 17, Vienna, A-1090, Austria

4 Faculty of Biology and Freiburg Initiative in Systems Biology, University of Freiburg, Schänzlestraße 1, Freiburg, D-79104, Germany

5 Global Change Research Center – CzechGlobe, Academy of Sciences of the Czech Republic, Belidla 986/4a, 60300 Brno, Czech Republic

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BMC Bioinformatics 2013, 14:133  doi:10.1186/1471-2105-14-133

Published: 21 April 2013

Additional files

Additional file 1:

Supporting Information. A document providing supplementary figures.

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Additional file 2:

R Script demonstrating application of the considered clustering algorithms. A document, describing the application of clustering algorithms to time series expression data, using the statistical programming language R.

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