Title
Recognition of overlap graphs
Abstract
Overlap graphs occur in computational biology and computer science, and have applications in genome sequencing, string compression, and machine scheduling. Given two strings $$s_{i}$$ s i and $$s_{j}$$ s j , their overlap string is defined as the longest string $$v$$ v such that $$s_{i} = uv$$ s i = u v and $$s_{j} = vw$$ s j = v w , for some non empty strings $$u,w$$ u , w , and its length is called the overlap between these two strings. A weighted directed graph is an overlap graph if there exists a set of strings with one-to-one correspondence to the vertices of the graph, such that each arc weight in the graph equals the overlap between the corresponding strings. In this paper, we characterize the class of overlap graphs, and we present a polynomial time recognition algorithm as a direct consequence. Given a weighted directed graph $$G$$ G , the algorithm constructs a set of strings that has $$G$$ G as its overlap graph, or decides that this is not possible.
Year
DOI
Venue
2014
10.1007/s10878-013-9663-3
Journal of Combinatorial Optimization
Keywords
Field
DocType
Strings,Shortest superstring problem,Overlap graphs,Recognition algorithm
Graph,Discrete mathematics,Combinatorics,Machine scheduling,Existential quantification,Vertex (geometry),Directed graph,String graph,Recognition algorithm,Time complexity,Mathematics
Journal
Volume
Issue
ISSN
28
1
1382-6905
Citations 
PageRank 
References 
1
0.37
15
Authors
2
Name
Order
Citations
PageRank
Theodoros P. Gevezes161.12
Leonidas S. Pitsoulis217022.11