Volume 1 Supplement 1

BioSysBio 2007: Systems Biology, Bioinformatics, Synthetic Biology

Open Access

Microarrays expression measurement

BMC Systems Biology20071(Suppl 1):P67

DOI: 10.1186/1752-0509-1-S1-P67

Published: 8 May 2007

Microarrays can measure the expression levels of all genes within a species. This can give insight into the molecular basis of stress responses in plants. Recent microarray analysis methods can give probability distributions of expression levels as well as point estimates, which can be propagating through subsequent analyses yielding improved results. Such methods are currently slow, applicable only to certain types of arrays, and cannot be applied to multi-factorial experiments. There are also no methods available for analyzing multi-species experiments. Our work aims to address all these shortcomings of current analysis methods, and create a Propagating Uncertainty in MicroArrays (puma) package for biologists.

Authors’ Affiliations

(1)
School of Computer Science, University of Manchester

Copyright

© Pearson; licensee BioMed Central Ltd. 2007

This article is published under license to BioMed Central Ltd.

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