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

ABSTRACT:

Background

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.

Results

A microarray based evaluation of

SUBMITTER: Lehmann R 

PROVIDER: S-EPMC3679775 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature