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Updated: Jul 11, 2025

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Published on: May 22, 2018
Movi: a fast and cache-efficient full-text pangenome index
Mohsen Zakeri1, Nathaniel K Brown1, Omar Y Ahmed1
1Department of Computer Science, Johns Hopkins University.
Movi, a new tool for pangenome indexes, uses the move structure for fast nanopore sequencing read classification. It offers significant speedups over existing methods, enabling real-time applications.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Pangenome indexes are crucial for analyzing large genomic datasets, particularly for rapid classification of sequencing reads.
- Existing compressed-index data structures like the FM index and r-index have limitations in space and query time for complex pangenomes.
- The move structure offers a novel approach with O(r) space and O(1)-time queries, where r is the number of runs in the Burrows-Wheeler Transform (BWT).
Conclusions:
- Movi provides a highly efficient solution for pangenome indexing and rapid read classification.
- The move structure, as implemented in Movi, offers significant performance advantages for large-scale genomic analyses.
- Movi is well-suited for real-time applications such as adaptive sampling in nanopore sequencing due to its speed and predictable query times.
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