title: DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data.
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.
authors.affiliation: Institute for Animal Health, Compton, Newbury, Berks RG20 7NN, UK. michael.watson@bbsrc.ac.uk
authors.forename: Michael
authors.initials: M
authors.lastname: Watson
authors.forename: Juliet
authors.initials: J
authors.lastname: Dukes
authors.forename: Abu-Bakr
authors.initials: AB
authors.lastname: Abu-Median
authors.forename: Donald P
authors.initials: DP
authors.lastname: King
authors.forename: Paul
authors.initials: P
authors.lastname: Britton
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D004279:DNA, Viral / Q000378:metabolism; D003627:Data Interpretation, Statistical; D001330:Electronic Data Processing; D020869:Gene Expression Profiling; D006367:HeLa Cells; D006801:Humans; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D015203:Reproducibility of Results; D045473:Severe acute respiratory syndrome-related coronavirus / Q000235:genetics; D012984:Software; D014584:User-Computer Interface
chemical_list: D004279:DNA, Viral