Watson Michael, Dukes Juliet, Abu-Median Abu-Bakr, King Donald P, Britton Paul
Institute for Animal Health, Compton, Newbury, Berks RG20 7NN, UK.
Genome Biol. 2007;8(9):R190. doi: 10.1186/gb-2007-8-9-r190.
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.
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。