Evidence map›Paper›PMID 37259161›Full record

ArticleGenome biology2023

Hierarchical Interleaved Bloom Filter: enabling ultrafast, approximate sequence queries.

Svenja Mehringer, Enrico Seiler, Felix Droop, Mitra Darvish, René Rahn, Martin Vingron, Knut Reinert

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. ganon2: up-to-date and scalable metagenomics analysis.NAR genomics and bioinformatics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

7 authors.

Svenja Mehringer *Department of Mathematics and Computer Science, Freie Universität Berlin, Takustr. 9, 14195, Berlin, Germany. svenja.mehringer@fu-berlin.de.
Enrico Seiler *Department of Mathematics and Computer Science, Freie Universität Berlin, Takustr. 9, 14195, Berlin, Germany.
Felix DroopDepartment of Mathematics and Computer Science, Freie Universität Berlin, Takustr. 9, 14195, Berlin, Germany.
Mitra DarvishMPI for Molecular Genetics, Ihnestr. 63, 14195, Berlin, Germany.
René RahnMPI for Molecular Genetics, Ihnestr. 63, 14195, Berlin, Germany.
Martin VingronMPI for Molecular Genetics, Ihnestr. 63, 14195, Berlin, Germany.
Knut ReinertDepartment of Mathematics and Computer Science, Freie Universität Berlin, Takustr. 9, 14195, Berlin, Germany.ORCID 0000-0003-3078-8129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a novel data structure for searching sequences in large databases: the Hierarchical Interleaved Bloom Filter (HIBF). It is extremely fast and space efficient, yet so general that it could serve as the underlying engine for many applications. We show that the HIBF is superior in build time, index size, and search time while achieving a comparable or better accuracy compared to other state-of-the-art tools. The HIBF builds an index up to 211 times faster, using up to 14 times less space, and can answer approximate membership queries faster by a factor of up to 129.

Indexed as

AlgorithmsSoftwareAlignment free analysisApproximate membership queryBloom filterMetagenomicsMiminizerSequence search

Identifiers

PMID37259161
PMCPMC10230713

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.