Abstract
Physical mapping is a central problem in molecular biology and the human genome project. The problem is to reconstruct the relative position of fragments of DNA along the genome from information on their pairwise overlaps. We show that four simplified models of the problem lead to NP-complete decision problems: Colored unit interval graph completion, the maximum interval (or unit interval) subgraph, the pathwidth of a bipartite graph, and the k -consecutive ones problem for k ≥ 2. These models have been chosen to reflect various features typical in biological data, including false-negative and positive errors, small width of the map, and chimericism.
Original language | English |
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Pages (from-to) | 139-152 |
Number of pages | 14 |
Journal | Journal of Computational Biology |
Volume | 2 |
Issue number | 1 |
DOIs | |
State | Published - 1995 |
Externally published | Yes |
Keywords
- NP-completeness
- interval graphs
- k-consecutive ones problem
- physical mapping
ASJC Scopus subject areas
- Modeling and Simulation
- Molecular Biology
- Genetics
- Computational Mathematics
- Computational Theory and Mathematics