An online database for the detection of novel archaeal sequences in human ESTs.
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.
Saunders
Neil F W
NF
School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, Australia. neil.saunders@unsw.edu.au
Curmi
Paul M G
PM
Cavicchioli
Ricardo
R
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