An online database for the detection of novel archaeal sequences in human ESTs

• Published in: Bioinformatics Vol. 20; no. 15; pp. 2361 - 2362
• Main Authors: Saunders, Neil F. W., Curmi, Paul M. G., Cavicchioli, Ricardo
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 12.10.2004; Oxford Publishing Limited (England)
• Subjects: Algorithms; Archaea; Archaea - genetics; Biological and medical sciences; Conserved Sequence - genetics; Databases, Genetic; Evolution, Molecular; Expressed Sequence Tags; Fundamental and applied biological sciences. Psychology; General aspects; Genetic Testing - methods; Genome, Archaeal; Genome, Human; Humans; Information Storage and Retrieval - methods; Internet; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects); Online Systems; Sequence Alignment - methods; Sequence Analysis, DNA - methods; Sequence Homology, Nucleic Acid; Human; Screening; Messenger RNA; Archaeobacteria; Database; Bacteria; Detection; Expressed sequence tag; Web site; Bioinformatics; Symbiont
• ISSN: 1367-4803; 1460-2059; 1367-4811
• DOI: 10.1093/bioinformatics/bth249

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. Availability: http://psychro.bioinformatics.unsw.edu.au/pathogen/index.php Supplementary information: http://psychro.bioinformatics.unsw.edu.au/pathogen/about.php