Evidence map›Paper›PMID 41349000›Full record

ArticleBioinformatics (Oxford, England)2025

Columba: fast approximate pattern matching with optimized search schemes.

Luca Renders, Lore Depuydt, Travis Gagie, Jan Fostier

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Sassy: fuzzy searching DNA sequences using SIMD.Bioinformatics (Oxford, England) · 2026
    Article
  3. 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

4 authors.

Luca RendersDepartment of Information Technology-IDLab, Ghent University-imec, Ghent 9052, Belgium.ORCID 0000-0002-2244-1427
Lore DepuydtDepartment of Information Technology-IDLab, Ghent University-imec, Ghent 9052, Belgium.
Travis GagieFaculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada.ORCID 0000-0003-3689-327X
Jan FostierDepartment of Information Technology-IDLab, Ghent University-imec, Ghent 9052, Belgium.ORCID 0000-0002-9994-8269

Funding

Research Foundation-Flanders (FWO) 1117322NResearch Foundation-Flanders (FWO) 1SE7822N
6 · The paper itself

Abstract

motivationAligning sequencing reads to reference genomes is a fundamental task in bioinformatics. Aligners can be classified as lossy or lossless: lossy aligners prioritize speed by reporting only one or a few high-scoring alignments, whereas lossless aligners output all optimal alignments, ensuring completeness and sensitivity.

resultsThis paper introduces Columba, a high-performance lossless aligner tailored for Illumina sequencing data. Columba processes single or paired-end reads in FASTQ format and outputs alignments in SAM format. By utilizing advanced search schemes and bit-parallel alignment techniques, Columba achieves exceptional speed. Columba is available in two variants. The first, based on the bidirectional FM-index, prioritizes speed. The second, Columba RLC, uses run-length compression using a bidirectional move structure, significantly reducing memory usage for large, repetitive datasets like pan-genomes. Benchmarks on the human genome, as well as bacterial and human pan-genome datasets, demonstrate that Columba is much faster than existing lossless aligners and even competitive with lossy tools. We integrated Columba into the OptiType HLA genotyping pipeline, where it substantially reduced computational time while maintaining accuracy. These results position Columba as a versatile, state-of-the-art tool for high-sensitivity genomic analyses. AVAILABILITY AND IMPLEMENTATION: The source code of Columba is available at https://github.com/biointec/columba under AGPL license. Scripts to reproduce the benchmarks and analyses are available at https://doi.org/10.5281/zenodo.15849246.

Indexed as

Sequence AlignmentSequence Analysis, DNASoftwareAlgorithmsComputational BiologyGenome, HumanHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID41349000
PMCPMC12724072

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.