Evidence map›Paper›PMID 39720533›Full record

ArticleiScience2024

The backpack quotient filter: A dynamic and space-efficient data structure for querying

Victor Levallois, Francesco Andreace, Bertrand Le Gal, Yoann Dufresne, Pierre Peterlongo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Victor LevalloisUniversity Rennes, Inria, CNRS, IRISA - UMR 6074, 35000 Rennes, France.
Francesco AndreaceDepartment of Computational Biology, Institut Pasteur, Université Paris Cité, 75015 Paris, France.
Bertrand Le GalUniversity Rennes, Inria, CNRS, IRISA - Taran team, ENSSAT, Lannion, France.
Yoann DufresneDepartment of Computational Biology, Institut Pasteur, Université Paris Cité, 75015 Paris, France.
Pierre PeterlongoUniversity Rennes, Inria, CNRS, IRISA - UMR 6074, 35000 Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic data sequencing is crucial for understanding biological systems. As genomic databases like the European Nucleotide Archive expand exponentially, efficient data manipulation is essential. A key challenge is querying these databases to determine the presence or absence of specific sequences and their abundance within datasets. This paper presents the Backpack Quotient Filter (BQF), a data structure for indexing

Indexed as

Biocomputational methodGenomic analysisHigh-performance computing in bioinformatics

Identifiers

PMID39720533
PMCPMC11667073

What OpenQuestion holds

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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.