Abstract
We have developed a computational subtraction approach to detect microbial causes for putative infectious diseases by filtering a set of human tissueâderived sequences against the human genome. We demonstrate the potential of this method by identifying sequences from known pathogens in established expressedâsequence tag libraries.
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Acknowledgements
We thank P. Vaglio, M. Vidal and W. Wong for assistance with computational platforms; R. DePinho, W. Kaelin, K. Polyak and M. Vidal for discussion and the National Cancer Institute (D.T.) and the Pew Scholars in the Biomedical Sciences (M.M.) for support. M.M. is a Claudia Adams Barr investigator.
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Weber, G., Shendure, J., Tanenbaum, D. et al. Identification of foreign gene sequences by transcript filtering against the human genome. Nat Genet 30, 141â142 (2002). https://doi.org/10.1038/ng818
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DOI: https://doi.org/10.1038/ng818