| Literature DB >> 35041518 |
Massimiliano Rossi1, Marco Oliva1, Paola Bonizzoni2, Ben Langmead3, Travis Gagie4, Christina Boucher1.
Abstract
Efficiently finding maximal exact matches (MEMs) between a sequence read and a database of genomes is a key first step in read alignment. But until recently, it was unknown how to build a data structure in [Formula: see text] space that supports efficient MEM finding, where r is the number of runs in the Burrows-Wheeler Transform. In 2021, Rossi et al. showed how to build a small auxiliary data structure called thresholds in addition to the r-index in [Formula: see text] space. This addition enables efficient MEM finding using the r-index. In this article, we present the tool that implements this solution, which we call MONI. Namely, we give a high-level view of the main components of the data structure and show how the source code can be downloaded, compiled, and used to find MEMs between a set of sequence reads and a set of genomes.Entities:
Keywords: MEM finding; r-index; run-length-encoded Burrows–Wheeler transform; thresholds
Mesh:
Year: 2022 PMID: 35041518 PMCID: PMC8902461 DOI: 10.1089/cmb.2021.0445
Source DB: PubMed Journal: J Comput Biol ISSN: 1066-5277 Impact factor: 1.479