Movi Color: fast and accurate long-read classification with the move structure.

ABSTRACT: The number of reference genomes is rapidly increasing, thanks to advances in long-read sequencing and assembly. While these collections can improve the sensitivity and specificity of classification methods, this requires highly efficient compressed indexes. K-mer-based approaches like Kraken 2 are efficient but limit the analysis to a fixed k-mer length. This is hard for the user to set ahead of time, and suboptimal settings can harm sensitivity and specificity. Methods that use compressed full-text indexes like SPUMONI2 and Cliffy lift this constraint, but are less efficient than k-mer-based tools. Further, these methods either cannot report a full listing of genomes where a match occurs, or cannot scale to large reference databases. We propose new methods and algorithms that use compress

SUBMITTER: Tan S 

PROVIDER: S-EPMC12154825 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature