Recognizing interval digraphs and interval bigraphs in polynomial time
Discrete Applied Mathematics
Discrete Applied Mathematics - Special volume on computational molecular biology DAM-CMB series volume 2
Journal of Algorithms
A polynomial time recognition algorithm for probe interval graphs
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Construction of probe interval models
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
Linear-Time Recognition of Circular-Arc Graphs
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Two tricks to triangulate chordal probe graphs in polynomial time
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
A characterization of cycle-free unit probe interval graphs
Discrete Applied Mathematics
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Probe interval graphs (PIGs) are used as a generalization of interval graphs in physical mapping of DNA. G = (V, E) is a probe interval graph (PIG) with respect to a partition (P, N) of V if vertices of G correspond to intervals on a real line and two vertices are adjacent if and only if their corresponding intervals intersect and at least one of them is in P; vertices belonging to P are called probes and vertices belonging to N are called non-probes. One common approach to studying the structure of a new family of graphs is to determine if there is a concise family of forbidden induced subgraphs. It has been shown that there are two forbidden induced subgraphs that characterize tree PIGs. In this paper we show that having a concise forbidden induced subgraph characterization does not extend to 2-tree PIGs; in particular, we show that there are at least 62 minimal forbidden induced subgraphs for 2-tree PIGs.