title: An online database for the detection of novel archaeal sequences in human ESTs.
abstract: We have developed a rapid, automated screening system and online database to detect foreign sequences of archaeal origin in human expressed sequence tags. The aim of the screening is to detect transcripts that may be derived from novel, putative archaeal pathogens or symbionts.
  
  
  BACKGROUND
  http://psychro.bioinformatics.unsw.edu.au/pathogen/index.php.
authors.affiliation: School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, Australia. neil.saunders@unsw.edu.au
authors.forename: Neil F W
authors.initials: NF
authors.lastname: Saunders
authors.forename: Paul M G
authors.initials: PM
authors.lastname: Curmi
authors.forename: Ricardo
authors.initials: R
authors.lastname: Cavicchioli
mesh_terms: D000465:Algorithms; D001105:Archaea / Q000235:genetics*; D017124:Conserved Sequence / Q000235:genetics; D030541:Databases, Genetic; D019143:Evolution, Molecular; D020224:Expressed Sequence Tags; D005820:Genetic Testing / Q000379:methods; D020745:Genome, Archaeal; D015894:Genome, Human; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D009862:Online Systems; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012689:Sequence Homology, Nucleic Acid