Evidence map›Paper›PMID 34972525›Full record

ArticleAlgorithms for molecular biology : AMB2021

An optimized FM-index library for nucleotide and amino acid search.

Tim Anderson, Travis J Wheeler

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Engineering rank queries on bit vectors and strings.Algorithms for molecular biology : AMB · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Tim AndersonDepartment of Computer Science, University of Montana, Missoula, MT, USA.
Travis J WheelerDepartment of Computer Science, University of Montana, Missoula, MT, USA. travis.wheeler@umontana.edu.ORCID http://orcid.org/0000-0003-2004-1785

Funding

Surveillance genome sequencing to detect SARS-CoV-2 virus variants in MontanaP20GM103546 · NIGMS · UNIVERSITY OF MONTANA · PI BOWLER, BRUCE E · 2012 to 2021
$19.2M
Maintenance and Development of RepeatMasker and RepeatModelerR01HG002939 · NHGRI · INSTITUTE FOR SYSTEMS BIOLOGY · PI Robert MacDonald Hubley, Arian Fredericus Anthonius Smit · 2003 to 2026
$9.1M
NHGRI NIH HHS R01 HG002939NIGMS NIH HHS P20 GM103546
6 · The paper itself

Abstract

backgroundPattern matching is a key step in a variety of biological sequence analysis pipelines. The FM-index is a compressed data structure for pattern matching, with search run time that is independent of the length of the database text. Implementation of the FM-index is reasonably complicated, so that increased adoption will be aided by the availability of a fast and flexible FM-index library.

resultsWe present AvxWindowedFMindex (AWFM-index), a lightweight, open-source, thread-parallel FM-index library written in C that is optimized for indexing nucleotide and amino acid sequences. AWFM-index introduces a new approach to storing FM-index data in a strided bit-vector format that enables extremely efficient computation of the FM-index occurrence function via AVX2 bitwise instructions, and combines this with optional on-disk storage of the index's suffix array and a cache-efficient lookup table for partial k-mer searches. The AWFM-index performs exact match count and locate queries faster than SeqAn3's FM-index implementation across a range of comparable memory footprints. When optimized for speed, AWFM-index is [Formula: see text]2-4x faster than SeqAn3 for nucleotide search, and [Formula: see text]2-6x faster for amino acid search; it is also [Formula: see text]4x faster with similar memory footprint when storing the suffix array in on-disk SSD storage.

conclusionsAWFM-index is easy to incorporate into bioinformatics software, offers run-time performance parameterization, and provides clients with FM-index functionality at both a high-level (count or locate all instances of a query string) and low-level (step-wise control of the FM-index backward-search process). The open-source library is available for download at https://github.com/TravisWheelerLab/AvxWindowFmIndex.

Indexed as

FM-indexSIMD vectorizationString matching

Identifiers

PMID34972525
PMCPMC8719400

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.