Identification of genes in genomic and EST sequences
- National Inst. of Neurological Disorders and Stroke, Bethesda, MD (United States). Receptor Biochemistry and Molecular Biology Section
- New Mexico State Univ., Las Cruces, NM (United States). Computing Research Lab.
Currently-available software tools are capable of predicting the locations of most protein-coding genes in anonymous genomic DNA sequences. The use of predicted exxon to select primers for PCR amplification from cDNA libraries allows the complete structures of novel genes to be determined efficiently. As the number of expressed sequence tag (EST) sequences increases, the fraction of genes that can be localized in genomic sequences by searching EST databases will rapidly approach unity. The challenge for automated DNA sequence analysis is now to develop methods for accurately predicting gene structure and alternative splicing patterns. Substantially improving current accuracies in gene structure prediction will require retrospective comparative analysis of sequences from different organisms and gene families.
- OSTI ID:
- 37551
- Report Number(s):
- CONF-9206273-; ISBN 981-02-1157-0; TRN: IM9519%%476
- Resource Relation:
- Conference: 2. international conference on bioinformatics, supercomputing, and complex genome analysis, St. Petersburg, FL (United States), 4-7 Jun 1992; Other Information: PBD: 1993; Related Information: Is Part Of The second international conference on bioinformatics, supercomputing and complex genome analysis; Lim, H.A. [ed.] [Florida State Univ., Tallahassee, FL (United States). Supercomputer Computations Research Inst.]; Fickett, J.W. [ed.] [Los Alamos National Lab., Los Alamos, NM (United States). Center for Human Genome Studies]; Cantor, C.R. [ed.] [Boston Univ., MA (United States). Center for Advanced Research in Biotechnology]; Robbins, R.J. [ed.] [Johns Hopkins Univ., Baltimore, MD (United States). Applied Research Lab.]; PB: 672 p.
- Country of Publication:
- United States
- Language:
- English
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