Title |
How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis
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Published in |
BMC Bioinformatics, April 2013
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DOI | 10.1186/1471-2105-14-133 |
Pubmed ID | |
Authors |
Robert Lehmann, Rainer Machné, Jens Georg, Manuela Benary, Ilka M Axmann, Ralf Steuer |
Abstract |
The transcriptomes of several cyanobacterial strains have been shown to exhibit diurnal oscillation patterns, reflecting the diurnal phototrophic lifestyle of the organisms. The analysis of such genome-wide transcriptional oscillations is often facilitated by the use of clustering algorithms in conjunction with a number of pre-processing steps. Biological interpretation is usually focussed on the time and phase of expression of the resulting groups of genes. However, the use of microarray technology in such studies requires the normalization of pre-processing data, with unclear impact on the qualitative and quantitative features of the derived information on the number of oscillating transcripts and their respective phases. |
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Geographical breakdown
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United States | 5 | 36% |
United Kingdom | 1 | 7% |
Norway | 1 | 7% |
Unknown | 7 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 10 | 71% |
Scientists | 4 | 29% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 4% |
South Africa | 1 | 2% |
Norway | 1 | 2% |
Belgium | 1 | 2% |
Czechia | 1 | 2% |
Unknown | 41 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 13 | 28% |
Researcher | 11 | 23% |
Student > Master | 6 | 13% |
Student > Bachelor | 3 | 6% |
Professor | 2 | 4% |
Other | 6 | 13% |
Unknown | 6 | 13% |
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Biochemistry, Genetics and Molecular Biology | 11 | 23% |
Environmental Science | 3 | 6% |
Mathematics | 2 | 4% |
Computer Science | 1 | 2% |
Other | 1 | 2% |
Unknown | 8 | 17% |