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DetectiV specifications

Information


Unique identifier OMICS_17052
Name DetectiV
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 1.2
Stability Stable
Maintained Yes

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  • person_outline Michael Watson

Publication for DetectiV

DetectiV citations

 (4)
library_books

DNA Microarray Platform for Detection and Surveillance of Viruses Transmitted by Small Mammals and Arthropods

2016
PLoS Negl Trop Dis
PMCID: 5031435
PMID: 27654806
DOI: 10.1371/journal.pntd.0005017

[…] ftware (Molecular Devices, USA). We developed a SMAvirusChip Analysis Form (RAF) using Microsoft Excel software for data processing and analysis. The RAF contains an algorithm similar to that used by DetectiV software []. All the raw data were normalized against the negative control probes, which were randomly distributed in 78 spots on each sub-array. To accomplish this, the fluorescence intensit […]

library_books

Microarrays for Pathogen Detection and Analysis

2011
Brief Funct Genomics
PMCID: 3245552
PMID: 21930658
DOI: 10.1093/bfgp/elr027

[…] DetectiV [] is a software package, written in the R language [], which provides simple visualization, normalization and significance testing functions for detection array data. Unlike most of the meth […]

library_books

VIPR: A probabilistic algorithm for analysis of microbial detection microarrays

2010
BMC Bioinformatics
PMCID: 2921407
PMID: 20646301
DOI: 10.1186/1471-2105-11-384

[…] Three algorithms, E-Predict, DetectiV and PhyloDetect, were available for comparison to VIPR. E-Predict [] was used to calculate Uncentered Pearson correlations. A custom E-matrix for the HF dataset was prepared as described by U […]

library_books

Nonparametric methods for the analysis of single color pathogen microarrays

2010
BMC Bioinformatics
PMCID: 2909221
PMID: 20584331
DOI: 10.1186/1471-2105-11-354

[…] the ViroChip platform does include the use of reverse complement probes and employs a random-PCR based nucleic acid amplification strategy that is similar to ours.Two other methods (E-Predict [] and DetectiV []) reported a high degree of predictive accuracy when they were used to examine the same dataset. Similarly, we report having achieved a high degree of accuracy when using two nonparametric […]


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DetectiV institution(s)
Institute for Animal Health, Compton, Newbury, Berks, UK; Institute for Animal Health, Pirbright, Surrey, UK

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