Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data. | Software Open Access DetectiV visualization normalization and significance testing for pathogen-detection microarray data Michael Watson Juliet Dukes Abu-Bakr Abu-Median Donald P King and Paul Britton Addresses Institute for Animal Health Compton Newbury Berks RG20 7NN UK. Institute for Animal Health Pirbright Surrey GU24 0NF UK. Correspondence Michael Watson. Email Published 14 September 2007 Genome Biology 2007 8 RI90 doi gb-2007-8-9-rI 90 The electronic version of this article is the complete one and can be found online at http 2007 8 9 RI90 Received 1 June 2007 Revised 15 August 2007 Accepted I4 September 2007 2007 Watson et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 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. Rationale One of the key applications of metagenomics is the identification and quantification of species within a clinical or environmental sample. Microarrays are particularly attractive for the recognition of pathogens in clinical material since current diagnostic assays are typically restricted to the detection of single targets by real-time PCR or immunological assays. Furthermore molecular characterization and phylogenetic analysis of these signatures can require downstream sequencing of genomic regions.
