Evidence map›Paper›PMID 41382149›Full record

ArticleAlgorithms for molecular biology : AMB2025

Engineering rank queries on bit vectors and strings.

Simon Gene Gottlieb, Knut Reinert

Abstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

2 authors.

Simon Gene GottliebInformatik & Mathematik, Freie Universität Berlin, Takustraße 9, 14195, Berlin, Germany. s.gottlieb@fu-berlin.de.
Knut ReinertInformatik & Mathematik, Freie Universität Berlin, Takustraße 9, 14195, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adding rank support to strings over a fixed-sized alphabet has numerous applications. Prominent among those is the (bidirectional) FM-Index which is commonly utilized to index and analyze genomic data. At its core lies the rank operation on the Burrows-Wheeler-Transform (BWT) which, given a position in the BWT and a character, answers how often the specified character appears from the start to that position. Implementing those rank queries is usually based on bit vectors with rank support. In this work, we discuss three implementation improvements. First, a novel approach named paired-blocks that reduces the space overhead of the support structure by half to a total of only

Indexed as

Bit vectorFM-IndexRank supportSIMDString

Identifiers

PMID41382149
PMCPMC12703928

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.