Automated identification of multiple micro-organisms from resequencing DNA microarrays.

ABSTRACT: There is an increasing recognition that detailed nucleic acid sequence information will be useful and even required in the diagnosis, treatment and surveillance of many significant pathogens. Because generating detailed information about pathogens leads to significantly larger amounts of data, it is necessary to develop automated analysis methods to reduce analysis time and to standardize identification criteria. This is especially important for multiple pathogen assays designed to reduce assay time and costs. In this paper, we present a successful algorithm for detecting pathogens and reporting the maximum level of detail possible using multi-pathogen resequencing microarrays. The algorithm filters the sequence of base calls from the microarray and finds entries in genetic databases that

SUBMITTER: Malanoski AP 

PROVIDER: S-EPMC1636417 | biostudies-literature | 2006

REPOSITORIES: biostudies-literature