title: Searching the expressed sequence tag (EST) databases: panning for genes.
abstract: The genomes of living organisms contain many elements, including genes coding for proteins. The portions of the genes expressed as mature mRNA, collectively known as the transcriptome, represent only a small part of the genome. The expressed sequence tag (EST) databases contain an increasingly large part of the transcriptome of many species. For this reason, these databases are probably the most abundant source of new coding sequences available today. However, the raw data deposited in the EST databases are to a large extent unorganised, unannotated, redundant and of relatively low quality. This paper reviews some of the characteristics of the EST data, and the methods that can be used to find novel protein sequences within them. It also documents a collection of databases, software and web sites that can be useful to biologists interested in mining the EST databases over the Internet, or in establishing a local environment for such analyses.
authors.affiliation: Office of Information Technology, Ludwig Institute for Cancer Research and Swiss Institute of Bioinformatics, chemin des Boveresses 155, CH-1066 Epalinges, Switzerland. Victor.Jongeneel@licr.org
authors.forename: C V
authors.initials: CV
authors.lastname: Jongeneel
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology / Q000379:methods; D020451:Contig Mapping; D018076:DNA, Complementary / Q000235:genetics; D016208:Databases, Factual; D020224:Expressed Sequence Tags; D016368:Frameshift Mutation; D005796:Genes; D016678:Genome; D006801:Humans; D020407:Internet; D012333:RNA, Messenger / Q000235:genetics; D012984:Software; D014158:Transcription, Genetic
chemical_list: D018076:DNA, Complementary; D012333:RNA, Messenger