Open AccessAn online database for the detection of novel archaeal sequences in human ESTs
Author(s) -
Neil Saunders,
Paul M. G. Curmi,
Ricardo Cavicchioli
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth249
Subject(s) - biology , expressed sequence tag , computational biology , sequence (biology) , sequence database , pathogen , genetics , gene , genome
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.
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