NANUQ+: A divide-and-conquer approach to network estimation

Elizabeth S. Allman, Hector Baños, John A. Rhodes, Kristina Wicke
2024 · doi:10.1101/2024.10.30.621146
preprint OA: closed CC-BY-NC-ND-4.0
📄 Open PDF View at publisher

Abstract

Inference of a species network from genomic data remains a difficult problem, with recent progress mostly limited to the level-1 case. However, inference of the Tree of Blobs of a network, showing only the network’s cut edges, can be performed for any network by TINNiK, suggesting a divide-and-conquer approach to network inference where the tree’s multifurcations are individually resolved to give more detailed structure. Here we develop a method, NANUQ + , to quickly perform such a level-1 resolution. Viewed as part of the NANUQ pipeline for fast level-1 inference, this gives tools for both understanding when the level-1 assumption is likely to be met and for exploring all highly-supported resolutions to cycles.

My notes (saved in your browser only)

Citation neighborhood (sparse)

Too few in-corpus citations on either side for a chart; here are the lists.

Cites (2)

References (29)

Source provenance

crossref
last seen: 2026-07-29T06:19:49.390871+00:00
europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-NC-ND-4.0