Statistical analysis of microarray data with replicated spots: A case study with Synechococcus WH8102

E. V. Thomas*, K. H. Phillippy, B. Brahamsha, D. M. Haaland, J. A. Timlin, L. D H Elbourne, B. Palenik, I. T. Paulsen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Until recently microarray experiments often involved relatively few arrays with only a single representation of each gene on each array. A complete genome microarray with multiple spots per gene (spread out spatially across the array) was developed in order to compare the gene expression of a marine cyanobacterium and a knockout mutant strain in a defined artificial seawater medium. Statistical methods were developed for analysis in the special situation of this case study where there is gene replication within an array and where relatively few arrays are used, which can be the case with current array technology. Due in part to the replication within an array, it was possible to detect very small changes in the levels of expression between the wild type and mutant strains. One interesting biological outcome of this experiment is the indication of the extent to which the phosphorus regulatory system of this cyanobacterium affects the expression of multiple genes beyond those strictly involved in phosphorus acquisition.

Original languageEnglish
Article number950171
Pages (from-to)1-11
Number of pages11
JournalComparative and Functional Genomics
Publication statusPublished - 2009


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