Identification of foreign gene sequences by transcript filtering against the human genome

We have developed a computational subtraction approach to detect microbial causes for putative infectious diseases by filtering a set of human tissue-derived sequences against the human genome. We demonstrate the potential of this method by identifying sequences from known pathogens in established e...

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Veröffentlicht in:	Nature genetics 2002-02, Vol.30 (2), p.141-142
Hauptverfasser:	Meyerson, Matthew, Weber, Griffin, Shendure, Jay, Tanenbaum, David M, Church, George M
Format:	Artikel
Sprache:	eng
Schlagworte:	Animals Biological and medical sciences Classical genetics, quantitative genetics, hybrids Communicable diseases Databases, Genetic Diagnosis Diverse techniques DNA sequencing DNA, Viral - genetics DNA, Viral - isolation & purification Expressed Sequence Tags Fundamental and applied biological sciences. Psychology Gene Library Genetics of eukaryotes. Biological and molecular evolution Genetics, Microbial Genome, Human Genome, Viral Genomic libraries Human Humans Infectious diseases Methods Molecular and cellular biology Nucleotide sequencing Pathogens Risk factors Sequence Analysis, DNA Vertebrata Viruses - genetics Viruses - pathogenicity
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Zusammenfassung:	We have developed a computational subtraction approach to detect microbial causes for putative infectious diseases by filtering a set of human tissue-derived sequences against the human genome. We demonstrate the potential of this method by identifying sequences from known pathogens in established expressed-sequence tag libraries.
ISSN:	1061-4036 1546-1718
DOI:	10.1038/ng818