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| Content Provider | ACM Digital Library |
|---|---|
| Author | Keijsper, Judith Oosterwijk, Tim |
| Copyright Year | 2015 |
| Abstract | Parsimony haplotyping is the problem of finding a set of haplotypes of minimum cardinality that explains a given set of genotypes, where a genotype is explained by two haplotypes if it can be obtained as a combination of the two. This problem is NP-complete in the general case, but polynomially solvable for (k, l)-bounded instances for certain $\textit{k}$ and $\textit{l}.$ Here, $\textit{k}$ denotes the maximum number of ambiguous sites in any genotype, and $\textit{l}$ is the maximum number of genotypes that are ambiguous at the same site. Only the complexity of the (*, 2)-bounded problem is still unknown, where * denotes no restriction. It has been proved that (*, 2)-bounded instances have compatibility graphs that can be constructed from cliques and circuits by pasting along an edge. In this paper, we give a constructive proof of the fact that (*, 2)-bounded instances are polynomially solvable if the compatibility graph is constructed by pasting cliques, trees and circuits along a bounded number of edges. We obtain this proof by solving a slightly generalized problem on circuits, trees and cliques respectively, and arguing that all possible combinations of optimal solutions for these graphs that are pasted along a bounded number of edges can be enumerated efficiently. |
| Starting Page | 234 |
| Ending Page | 247 |
| Page Count | 14 |
| File Format | |
| ISSN | 15455963 |
| DOI | 10.1109/TCBB.2014.2352031 |
| Volume Number | 12 |
| Issue Number | 1 |
| Journal | IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-01-01 |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Drug design Graph Haplotyping Health Hereditary disease Matching problem Path partition Polynomial time algorithm Shortest path |
| Content Type | Text |
| Resource Type | Article |
| Subject | Genetics Biotechnology Applied Mathematics |
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