arXiv · 2211.07794
Augmented Thresholds for MONI
Abstract
MONI (Rossi et al., 2022) can store a pangenomic dataset T in small space and later, given a pattern P, quickly find the maximal exact matches (MEMs) of P with respect to T. In this paper we consider its one-pass version (Boucher et al., 2021), whose query times are dominated in our experiments by longest common extension (LCE) queries. We show how a small modification lets us avoid most of these queries and thus significantly speeds up MONI in practice while only slightly increasing its size.
Explore related subjects
Keep this discovery
César Martínez-Guardiola, Nathaniel K. Brown, Fernando Silva-Coira, Dominik Köppl, Travis Gagie, Susana Ladra. 2022-11-14. Augmented Thresholds for MONI. https://arxiv.org/abs/2211.07794
Cite the original work for its findings. Save a collection to share your selection of sources.