ReviewNature protocols2026
Structural variant calling using Sniffles2.
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.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
4 authors.
Funding
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
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.