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

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Standard

SNPTools : A software tool for visualization and analysis of microarray data. / Sørensen, Frank J.; Andersen, Claus L.; Wiuf, Carsten.

In: Bioinformatics, Vol. 23, No. 12, 15.06.2007, p. 1550-1552.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Sørensen, FJ, Andersen, CL & Wiuf, C 2007, 'SNPTools: A software tool for visualization and analysis of microarray data', Bioinformatics, vol. 23, no. 12, pp. 1550-1552. https://doi.org/10.1093/bioinformatics/btm122

APA

Sørensen, F. J., Andersen, C. L., & Wiuf, C. (2007). SNPTools: A software tool for visualization and analysis of microarray data. Bioinformatics, 23(12), 1550-1552. https://doi.org/10.1093/bioinformatics/btm122

Vancouver

Sørensen FJ, Andersen CL, Wiuf C. SNPTools: A software tool for visualization and analysis of microarray data. Bioinformatics. 2007 Jun 15;23(12):1550-1552. https://doi.org/10.1093/bioinformatics/btm122

Author

Sørensen, Frank J. ; Andersen, Claus L. ; Wiuf, Carsten. / SNPTools : A software tool for visualization and analysis of microarray data. In: Bioinformatics. 2007 ; Vol. 23, No. 12. pp. 1550-1552.

Bibtex

@article{4f4c8d049463481bba5097e3b1135f17,
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.",
author = "S{\o}rensen, {Frank J.} and Andersen, {Claus L.} and Carsten Wiuf",
year = "2007",
month = jun,
day = "15",
doi = "10.1093/bioinformatics/btm122",
language = "English",
volume = "23",
pages = "1550--1552",
journal = "Bioinformatics (Online)",
issn = "1367-4811",
publisher = "Oxford University Press",
number = "12",

}

RIS

TY - JOUR

T1 - SNPTools

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.

UR - http://www.scopus.com/inward/record.url?scp=34547840182&partnerID=8YFLogxK

U2 - 10.1093/bioinformatics/btm122

DO - 10.1093/bioinformatics/btm122

M3 - Journal article

C2 - 17384422

AN - SCOPUS:34547840182

VL - 23

SP - 1550

EP - 1552

JO - Bioinformatics (Online)

JF - Bioinformatics (Online)

SN - 1367-4811

IS - 12

ER -

ID: 203904578