Author: Watson, Michael; Dukes, Juliet; Abu-Median, Abu-Bakr; King, Donald P; Britton, Paul
Title: DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data Cord-id: rzzsmuoc Document date: 2007_9_14
ID: rzzsmuoc
Snippet: 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.
Document: 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.
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