Correcting sequencing errors in DNA coding regions using a dynamic programming approach

Bioinformatics

Volumn 11, Issue 2, 1995, Pages 117-124

  Xu, Ying ^a   Mural, Richard J ^a,b   Uberbacher, Edward C ^b  

^a Informatics Group   (United States)

^b OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; DNA SEQUENCE; ERROR; GENE DELETION; GENE INSERTION; GENOME; NUCLEOTIDE SEQUENCE; PRIORITY JOURNAL;

ALGORITHMS; EXONS; HUMAN; SEQUENCE ANALYSIS, DNA; SOFTWARE; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, P.H.S.; TRANSLATION, GENETIC;

EID: 0029075793     PISSN: 13674803     EISSN: None     Source Type: Journal    
DOI: 10.1093/bioinformatics/11.2.117     Document Type: Article

References (9)

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2. Drury, H.A., Polittle, D.G., Ollinger, J.M., Green, P. and Thomas, L.J. (1992) Maximum-likelihood estimation of restriction-fragment mobilities from 1-D electrophoretic agaroes gels. SPIE Proceedings, 1660, 564-575.
3. Mural, R.J., Einsteini, R., Guan, X., Mann, R.C. and Uberbacher, E.C (1992) An artificial intelligence approach to DNA sequence feature recognition. Trends Biotech, 10, 66-69.
4. Posfai, J. and Roberts, R.J. (1992) Finding errors in DNA sequences. Proc. Nall Acad. Sci. USA, 89, 4698-4702.
5. Snyder, E.E. and Stormo, G.D. (1993) Identification of coding regions in genomic DNA sequences: an application of dynamic programming and neural networks. Nucleic Acids Res., 21, 607-613.
6. States, D.J. and Botstein, D. (1991) Molecular sequence accuracy and the analysis of protein coding regions. Proc. Nat! Acad. Sci USA, 88, 5518-5522.
7. Uberbacher, E.C., Einstein, R., Guan, X. and Mural, RJ. (1993) Gene recognition and assembly in the GRAIL system: progress and challenges. In Lim, H.A., Fickett^l, W., Cantor, C.R. and Robbins, R.J. (eds), Proc. 2nd Int Conf. Bioinformatics. Supercomput¬ing and Complex Genome Analysis. World Scientific, pp. 465-476.
8. Uberbacher, E.C. and Mural, R.J (1991) Locating protein-coding regions in human DNA sequences by a multiple sensors-neural network approach. Proc. Natl Acad. Sci USA, 88, 11261-11265.
9. Xu, Y., Mural, R.J., Shah, M. and Uberbacher, E.C. (1994) Recognizing exons in genomic sequence using GRAIL II. In Setlow.J (ed), Genetic Engineering. Principles and Methods. Plenum Press, pp. 241-253.