DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data

Michael Watson¹ , Juliet Dukes² , Abu-Bakr Abu-Median¹ , Donald P King² and Paul Britton¹

¹Institute for Animal Health, Compton, Newbury, Berks RG20 7NN, UK

²Institute for Animal Health, Pirbright, Surrey GU24 0NF, UK

author email corresponding author email

Genome Biology 2007, 8:R190doi:10.1186/gb-2007-8-9-r190


Published:	14 September 2007

Subject areas: Bioinformatics, Microbiology and parasitology, Genome studies

Abstract

DNA microarrays offer the possibility of testing for the presence of thousands of micro-organisms in a single experiment. However, there is a lack of reliable bioinformatics tools for the analysis of such data. We have developed DetectiV, a package for the statistical software R. DetectiV offers powerful yet simple visualization, normalization and significance testing tools. We show that DetectiV performs better than previously published software on a large, publicly available dataset.