SNPTools: A software tool for visualization and analysis of microarray data

Frank J. Sørensen; Claus L. Andersen; Carsten Wiuf

doi:10.1093/bioinformatics/btm122

SNPTools: A software tool for visualization and analysis of microarray data

Frank J. Sørensen, Claus L. Andersen, Carsten Wiuf^*

^*Corresponding author for this work

3 Citations (Scopus)

Abstract

Summary: We have created a software tool, SNPTools, for analysis and visualization of microarray data, mainly SNP array data. The software can analyse and find differences in intensity levels between groups of arrays and identify segments of SNPs (genes, clones), where the intensity levels differ significantly between the groups. In addition, SNPTools can show jointly loss-of-heterozygosity (LOH) data (derived from genotypes) and intensity data for paired samples of tumour and normal arrays. The output graphs can be manipulated in various ways to modify and adjust the layout. A wizard allows options and parameters to be changed easily and graphs replotted. All output can be saved in various formats, and also re-opened in SNPTools for further analysis. For explorative use, SNPTools allows various genome information to be loaded onto the graphs.

Original language	English
Journal	Bioinformatics
Volume	23
Issue number	12
Pages (from-to)	1550-1552
Number of pages	3
ISSN	1367-4803
DOIs	https://doi.org/10.1093/bioinformatics/btm122
Publication status	Published - 15 Jun 2007
Externally published	Yes

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title = "SNPTools: A software tool for visualization and analysis of microarray data",

abstract = "Summary: We have created a software tool, SNPTools, for analysis and visualization of microarray data, mainly SNP array data. The software can analyse and find differences in intensity levels between groups of arrays and identify segments of SNPs (genes, clones), where the intensity levels differ significantly between the groups. In addition, SNPTools can show jointly loss-of-heterozygosity (LOH) data (derived from genotypes) and intensity data for paired samples of tumour and normal arrays. The output graphs can be manipulated in various ways to modify and adjust the layout. A wizard allows options and parameters to be changed easily and graphs replotted. All output can be saved in various formats, and also re-opened in SNPTools for further analysis. For explorative use, SNPTools allows various genome information to be loaded onto the graphs.",

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T2 - A software tool for visualization and analysis of microarray data

AU - Sørensen, Frank J.

AU - Andersen, Claus L.

AU - Wiuf, Carsten

PY - 2007/6/15

Y1 - 2007/6/15

N2 - Summary: We have created a software tool, SNPTools, for analysis and visualization of microarray data, mainly SNP array data. The software can analyse and find differences in intensity levels between groups of arrays and identify segments of SNPs (genes, clones), where the intensity levels differ significantly between the groups. In addition, SNPTools can show jointly loss-of-heterozygosity (LOH) data (derived from genotypes) and intensity data for paired samples of tumour and normal arrays. The output graphs can be manipulated in various ways to modify and adjust the layout. A wizard allows options and parameters to be changed easily and graphs replotted. All output can be saved in various formats, and also re-opened in SNPTools for further analysis. For explorative use, SNPTools allows various genome information to be loaded onto the graphs.

AB - Summary: We have created a software tool, SNPTools, for analysis and visualization of microarray data, mainly SNP array data. The software can analyse and find differences in intensity levels between groups of arrays and identify segments of SNPs (genes, clones), where the intensity levels differ significantly between the groups. In addition, SNPTools can show jointly loss-of-heterozygosity (LOH) data (derived from genotypes) and intensity data for paired samples of tumour and normal arrays. The output graphs can be manipulated in various ways to modify and adjust the layout. A wizard allows options and parameters to be changed easily and graphs replotted. All output can be saved in various formats, and also re-opened in SNPTools for further analysis. For explorative use, SNPTools allows various genome information to be loaded onto the graphs.

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SNPTools: A software tool for visualization and analysis of microarray data

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