Partial order alignment by adjacencies and breakpoints
Rain Jiang, Kai Jiang, Minghui Jiang

TL;DR
This paper investigates the computational complexity of aligning two partial orders to maximize adjacencies and minimize breakpoints, revealing the problem's APX-hardness even under specific order restrictions.
Contribution
It proves that linearizing two partial orders for optimal adjacency and breakpoint metrics is APX-hard, even with simplified order types.
Findings
The problem is APX-hard for general partial orders.
Hardness persists when one order is linear and the other is an interval order.
The problem remains hard for weak orders.
Abstract
Linearizing two partial orders to maximize the number of adjacencies and minimize the number of breakpoints is APX-hard. This holds even if one of the two partial orders is already a linear order and the other is an interval order, or if both partial orders are weak orders.
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
TopicsAlgorithms and Data Compression · Genome Rearrangement Algorithms · DNA and Biological Computing
