title: Identification of foreign gene sequences by transcript filtering against the human genome.
abstract: 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.
authors.affiliation: Department of Adult Oncology, Dana-Farber Cancer Institute, 44 Binney Street, Boston, Massachusetts 02115, USA.
authors.forename: Griffin
authors.initials: G
authors.lastname: Weber
authors.forename: Jay
authors.initials: J
authors.lastname: Shendure
authors.forename: David M
authors.initials: DM
authors.lastname: Tanenbaum
authors.forename: George M
authors.initials: GM
authors.lastname: Church
authors.forename: Matthew
authors.initials: M
authors.lastname: Meyerson
mesh_terms: D004279:DNA, Viral / Q000235:genetics / Q000302:isolation & purification; D030541:Databases, Genetic; D020224:Expressed Sequence Tags; D015723:Gene Library; D005827:Genetics, Microbial; D015894:Genome, Human; D016679:Genome, Viral; D006801:Humans; D017422:Sequence Analysis, DNA; D014780:Viruses / Q000235:genetics / Q000472:pathogenicity
chemical_list: D004279:DNA, Viral