Title
The Complexity of the Single Individual SNP Haplotyping Problem
Abstract
We present several new results pertaining to haplotyping. These results concern the combinatorial problem of reconstructing haplotypes from incomplete and/or imperfectly sequenced haplotype fragments. We consider the complexity of the problems Minimum Error Correction (MEC) and Longest Haplotype Reconstruction (LHR) for different restrictions on the input data. Specifically, we look at the gapless case, where every row of the input corresponds to a gapless haplotype-fragment, and the 1-gap case, where at most one gap per fragment is allowed. We prove that MEC is APX-hard in the 1-gap case and still NP-hard in the gapless case. In addition, we question earlier claims that MEC is NP-hard even when the input matrix is restricted to being completely binary. Concerning LHR, we show that this problem is NP-hard and APX-hard in the 1-gap case (and thus also in the general case), but is polynomial time solvable in the gapless case.
Year
DOI
Venue
2007
10.1007/s00453-007-0029-z
Algorithmica
Keywords
Field
DocType
Polynomial Time,Bipartite Graph,Vertex Cover,Input Matrix,Directed Circuit
Discrete mathematics,Combinatorics,Matrix (mathematics),Bipartite graph,Combinatorial optimization,Error detection and correction,Vertex cover,Time complexity,Gapless playback,Mathematics,Binary number
Journal
Volume
Issue
ISSN
49
1
0178-4617
Citations 
PageRank 
References 
21
0.90
16
Authors
4
Name
Order
Citations
PageRank
Rudi Cilibrasi112813.21
Leo van Iersel221524.58
Steven Kelk319325.60
John Tromp412412.85