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Genome Biol. 2005;6(9):R78. Epub 2005 Aug 30.

E-Predict: a computational strategy for species identification based on observed DNA microarray hybridization patterns.

Author information

1
Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94143, USA. anatoly@derisilab.ucsf.edu

Abstract

DNA microarrays may be used to identify microbial species present in environmental and clinical samples. However, automated tools for reliable species identification based on observed microarray hybridization patterns are lacking. We present an algorithm, E-Predict, for microarray-based species identification. E-Predict compares observed hybridization patterns with theoretical energy profiles representing different species. We demonstrate the application of the algorithm to viral detection in a set of clinical samples and discuss its relevance to other metagenomic applications.

PMID:
16168085
PMCID:
PMC1242213
DOI:
10.1186/gb-2005-6-9-r78
[Indexed for MEDLINE]
Free PMC Article

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