Abstract
Optical mapping is a novel technique for generating the restriction map of a DNA molecule by observing many single, partially digested copies of it, using fluorescence microscopy. The real-life problem is complicated by numerous factors: false positive and false negative cut observations, inaccurate location measurements, unknown orientations, and faulty molecules. We present an algorithm for solving the real-life problem. The algorithm combines continuous optimization and combinatorial algorithms applied to a nonuniform discretization of the data. We present encouraging results on real experimental data and on simulated data.
Original language | English |
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Pages (from-to) | 745-760 |
Number of pages | 16 |
Journal | Journal of Computational Biology |
Volume | 7 |
Issue number | 5 |
DOIs | |
State | Published - 2000 |
Keywords
- Discrete optimization
- EM algorithm
- Maximum likelihood
- Optical mapping
- Restriction maps