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

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 pow...

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Detalles Bibliográficos
Autores principales: Watson, Michael, Dukes, Juliet, Abu-Median, Abu-Bakr, King, Donald P, Britton, Paul
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375028/
https://www.ncbi.nlm.nih.gov/pubmed/17868443
http://dx.doi.org/10.1186/gb-2007-8-9-r190
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author Watson, Michael
Dukes, Juliet
Abu-Median, Abu-Bakr
King, Donald P
Britton, Paul
author_facet Watson, Michael
Dukes, Juliet
Abu-Median, Abu-Bakr
King, Donald P
Britton, Paul
author_sort Watson, Michael
collection PubMed
description 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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spelling pubmed-23750282008-05-12 DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data Watson, Michael Dukes, Juliet Abu-Median, Abu-Bakr King, Donald P Britton, Paul Genome Biol Software 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. BioMed Central 2007 2007-09-14 /pmc/articles/PMC2375028/ /pubmed/17868443 http://dx.doi.org/10.1186/gb-2007-8-9-r190 Text en Copyright © 2007 Watson et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Watson, Michael
Dukes, Juliet
Abu-Median, Abu-Bakr
King, Donald P
Britton, Paul
DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data
title DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data
title_full DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data
title_fullStr DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data
title_full_unstemmed DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data
title_short DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data
title_sort detectiv: visualization, normalization and significance testing for pathogen-detection microarray data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375028/
https://www.ncbi.nlm.nih.gov/pubmed/17868443
http://dx.doi.org/10.1186/gb-2007-8-9-r190
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AT abumedianabubakr detectivvisualizationnormalizationandsignificancetestingforpathogendetectionmicroarraydata
AT kingdonaldp detectivvisualizationnormalizationandsignificancetestingforpathogendetectionmicroarraydata
AT brittonpaul detectivvisualizationnormalizationandsignificancetestingforpathogendetectionmicroarraydata

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