Evidence map›Paper›PMID 42260234›Full record

ReviewNature protocols2026

Structural variant calling using Sniffles2.

Luis F Paulin, Hermann Romanek, Farhang Jaryani, Fritz J Sedlazeck

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2026. 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

4 authors.

Luis F PaulinHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Hermann RomanekHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Farhang JaryaniHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0001-8374-6681
Fritz J SedlazeckHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA. fritz.sedlazeck@bcm.edu.ORCID http://orcid.org/0000-0001-6040-2691

Funding

Comprehensive Somatic Variant Characterization at the HGSCUM1DA058229 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI Harsha Vardhan Doddapaneni, RICHARD A GIBBS · 2023 to 2026
$15.0M
U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) 1U01HG011758U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 1UG3NS132105U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) UM1DA058229
6 · The paper itself

Abstract

Structural variants (SVs) are the most common nucleotide alteration per human genome compared to other variant types and have profound implications in evolution, diseases and regulation of genes. Sniffles2 (v2.6.3) is an open-source software for reliable detection of SVs ranging from 50 bp and upward across deletions, duplications, insertions, inversions and translocations, based on long-read sequencing. The tool is commonly used for various species and has identified multiple causative mutations in human diseases, key alleles in cancer progression. Here this protocol describes how to fully use Sniffles2 to accurately identify germline and mosaic SVs. The latter are low-variant allele fraction SVs (5-22% VAF) of parts of cells. We further provide detailed instruction for SV joint calling within Sniffles2 to enable tumor/normal calling or family trio analysis, which can scale up into large-scale population studies. Sniffles2 has been benchmarked and compared to currently available tools and has the highest precision while also being very fast, able to call SVs for a 40× human genome in ~34 CPU min (~8.5 min wall clock with the default four threads). It is designed to be easy to use for researchers with basic knowledge of Linux operating systems and the terminal.

Identifiers

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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.