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DetectiV:病原体检测微阵列数据的可视化、标准化及显著性检验

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

作者信息

Watson Michael, Dukes Juliet, Abu-Median Abu-Bakr, King Donald P, Britton Paul

机构信息

Institute for Animal Health, Compton, Newbury, Berks RG20 7NN, UK.

出版信息

Genome Biol. 2007;8(9):R190. doi: 10.1186/gb-2007-8-9-r190.

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.

摘要

DNA微阵列提供了在一次实验中检测数千种微生物存在的可能性。然而,缺乏可靠的生物信息学工具来分析此类数据。我们开发了DetectiV,这是一个用于统计软件R的程序包。DetectiV提供了强大而简单的可视化、标准化和显著性检验工具。我们表明,在一个大型的公开可用数据集上,DetectiV的性能优于之前发布的软件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/414a/2375028/b345e1fc5f05/gb-2007-8-9-r190-1.jpg

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