title: An optimized protocol for analysis of EST sequences.
abstract: The vast body of Expressed Sequence Tag (EST) data in the public databases provide an important resource for comparative and functional genomics studies and an invaluable tool for the annotation of genomic sequences. We have developed a rigorous protocol for reconstructing the sequences of transcribed genes from EST and gene sequence fragments. A key element in developing this protocol has been the evaluation of a number of sequence assembly programs to determine which most faithfully reproduce transcript sequences from EST data. The TIGR Gene Indices constructed using this protocol for human, mouse, rat and a variety of other plant and animal models have demonstrated their utility in a variety of applications and are freely available to the scientific research community.
authors.affiliation: The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850, USA.
authors.forename: F
authors.initials: F
authors.lastname: Liang
authors.forename: I
authors.initials: I
authors.lastname: Holt
authors.forename: G
authors.initials: G
authors.lastname: Pertea
authors.forename: S
authors.initials: S
authors.lastname: Karamycheva
authors.forename: S L
authors.initials: SL
authors.lastname: Salzberg
authors.forename: J
authors.initials: J
authors.lastname: Quackenbush
mesh_terms: D000465:Algorithms; D000818:Animals; D016384:Consensus Sequence; D016208:Databases, Factual; D020224:Expressed Sequence Tags; D006801:Humans; D005810:Multigene Family; D051381:Rats; D017422:Sequence Analysis, DNA / Q000379:methods*