Filter matrix estimation in automated DNA sequencing

IEEE Transactions on Biomedical Engineering

Volumn 45, Issue 4, 1998, Pages 422-428

  Huang, Weian ^a   Fuhrmann, Daniel R ^a   Politte, David G ^b   Thomas Jr , Lewis J ^a   States, David J ^c  

^a WASHINGTON UNIVERSITY   (United States)

^b MAYO CLINIC   (United States)

^c WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

Electro phoresis; Filter matrix; Fluorescencebased DNA sequencing

Indexed keywords

AUTOMATION; COLOR IMAGE PROCESSING; DNA SEQUENCES; DYES; ELECTROPHORESIS; FLUORESCENCE; IMAGING SYSTEMS; SIGNAL FILTERING AND PREDICTION;

DYE INTENSITY SIGNALS; FILTER MATRIX ESTIMATION; OPTICAL IMAGING SYSTEMS;

GENETIC ENGINEERING;

DNA; FLUORESCENT DYE;

ALGORITHM; ARTICLE; AUTOMATION; DNA SEQUENCE; FILTER; FLUORESCENCE; IMAGING SYSTEM; MATHEMATICAL MODEL; SIMULATION;

ALGORITHMS; COLORING AGENTS; COMPUTER SIMULATION; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MODELS, GENETIC; OPTICS; RANDOM ALLOCATION; SEQUENCE ANALYSIS, DNA; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0032053975     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.664198     Document Type: Article

References (16)

1. G. L. Trainer, "DNA sequencing, automation, and the Human Genome," Ann. Chem.. vol. 62, pp. 418-426, 1990.
2. C. Parkison and S.-Y. Cheng, "A convenient method to increase the number of readable bases in DNA sequencing," Biol Tech., vol. 7, pp. 828-829, 1989.
3. J. Darnell, H. Lodish, and D. Baltimore, Molecular Cell Biology, 2nd ed. New York: Scientific Amer., New York, 1990.
4. F. Sanger, S. Nicklen, and A. R. Coulson, "DNA sequencing with chainterminating inhibitors," in Proc. National Academy of Sciences of the USA, Dec. 1977, vol. 74, pp. 5463-5467.
5. L. M. Smith, J. Z. Sanders, R. J. Kaiser, P. Hughes, C. Dodd, C. R. Connel, C. Heiner, S. B. Kent, and L. E. Hood, "Fluorescence detection in automated DNA sequence analysis," Nature, vol. 321, pp. 674-679, June 1986.
6. P. D. Grossman, S. Menchen, and D. Hershey, "Quantitative analysis of DNA sequencing electrophoresis," Genetics Anal, Tech., Applicat., vol. 9, pp. 9-16, Feb. 1992.
7. S. Kullback, Information Theory and Statistics. New York: Wiley, 1959.
8. I. Csiszâr, "Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems," Ann. Stat., vol. 19, pp. 2032-2066, 1991.
9. D. L. Snyder, T. J. Schulz, and J. A. O'Sullivan, "Deblurring subject to nonnegativity constraints," IEEE Trans. Signal Processing, vol. 40, pp. 1143-1150, May 1992.
10. T. M. Cover, "An algorithm for maximizing expected log investment return," IEEE Trans. Inform. Theory, vol. IT-30, pp. 369-373, Mar. 1984.
11. L. A. Shepp and Y. Vardi, "Maximum likelihood reconstruction for emission tomography," IEEE Trans. Med. Imag., vol. MI-1, pp. 113-122, Oct. 1982.
12. C. L. Byrne, "Iterative image reconstruction algorithms based on crossentropy minimization," IEEE Trans. Image Processing, vol. 2, pp. 96-103, 1993.
13. D. G. Luenberger, Optimization by Vector Space Methods. New York: Wiley, 1969.
14. R. A. Horn and C. R. Johnson, Matrix Analysis. New York: Cambridge Univ. Press, New York, NY, 1985.
15. D. H. Johnson and D. E. Dudgeon, Array Signal Processing. Englewood Cliffs, NJ: Prentice-Hall 1993.
16. W. Huang, "Preprocessing of gel images in automated DNA sequencing," master's thesis, Washington Univ., St. Louis, MO, 1995.