Read networks and k-laminar graphs
Finn V\"olkel, Eric bapteste, Michel Habib, Philippe Lopez, and Chloe Vigliotti

TL;DR
This paper introduces k-laminar graphs, a new class extending asteroidal triple free graphs, motivated by biological sequence similarity networks, with polynomial recognition algorithms for fixed k and NP-completeness for unbounded k.
Contribution
The paper defines k-laminar graphs, explores their properties, relationships with known classes, and develops polynomial algorithms for recognition when k is fixed, improving previous methods for k=1.
Findings
Polynomial recognition algorithms for fixed k
Improved algorithm for k=1 case
NP-completeness when k is unbounded
Abstract
In this paper we introduce k-laminar graphs a new class of graphs which extends the idea of Asteroidal triple free graphs. Indeed a graph is k-laminar if it admits a diametral path that is k-dominating. This bio-inspired class of graphs was motivated by a biological application dealing with sequence similarity networks of reads (called hereafter read networks for short). We briefly develop the context of the biological application in which this graph class appeared and then we consider the relationships of this new graph class among known graph classes and then we study its recognition problem. For the recognition of k-laminar graphs, we develop polynomial algorithms when k is fixed. For k=1, our algorithm improves a Deogun and Krastch's algorithm (1999). We finish by an NP-completeness result when k is unbounded.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAlzheimer's disease research and treatments · Topological and Geometric Data Analysis · Bioinformatics and Genomic Networks
