Evidence map›Paper›PMID 35595234›Full record

ArticleBioinformatics (Oxford, England)2022

Examining clustered somatic mutations with SigProfilerClusters.

Erik N Bergstrom, Mousumy Kundu, Noura Tbeileh, Ludmil B Alexandrov

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
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

28 citing papers in PubMed, 33 citations in OpenAlex.

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  5. PARP1-mediated 5' flap dynamics facilitate Okazaki fragment maturation.bioRxiv : the preprint server for biology · 2026
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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 at 1 institution in 1 country.

Erik N BergstromDepartment of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA.
Mousumy KunduDepartment of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA.
Noura TbeilehDepartment of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA.ORCID 0000-0002-7757-8148
Ludmil B AlexandrovDepartment of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA 92093, USA.ORCID 0000-0003-3596-4515
University of California San Diego · US

Funding

Detecting Mutational Signatures of Environmental Mutagens in Heathy Individuals for Personalized Cancer PreventionR01ES032547 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ALEXANDROV, LUDMIL B · 2021 to 2025
$3.4M
Mutational Signatures of a Combined Environmental Exposure: Arsenic and Ultraviolet RadiationR01ES030993 · NIEHS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI HUDSON, LAURIE G, LIU, KE JIAN · 2020 to 2024
$2.5M
Cancer Research UK C98/A24032NIEHS NIH HHS R01 ES030993NIEHS NIH HHS R01 ES032547Packard Fellowship for Science and Engineering
6 · The paper itself

Abstract

motivationClustered mutations are found in the human germline as well as in the genomes of cancer and normal somatic cells. Clustered events can be imprinted by a multitude of mutational processes, and they have been implicated in both cancer evolution and development disorders. Existing tools for identifying clustered mutations have been optimized for a particular subtype of clustered event and, in most cases, relied on a predefined inter-mutational distance (IMD) cutoff combined with a piecewise linear regression analysis.

resultsHere, we present SigProfilerClusters, an automated tool for detecting all types of clustered mutations by calculating a sample-dependent IMD threshold using a simulated background model that takes into account extended sequence context, transcriptional strand asymmetries and regional mutation densities. SigProfilerClusters disentangles all types of clustered events from non-clustered mutations and annotates each clustered event into an established subclass, including the widely used classes of doublet-base substitutions, multi-base substitutions, omikli and kataegis. SigProfilerClusters outputs non-clustered mutations and clustered events using standard data formats as well as provides multiple visualizations for exploring the distributions and patterns of clustered mutations across the genome. AVAILABILITY AND IMPLEMENTATION: SigProfilerClusters is supported across most operating systems and made freely available at https://github.com/AlexandrovLab/SigProfilerClusters with an extensive documentation located at https://osf.io/qpmzw/wiki/home/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

NeoplasmsSoftwareGenomeHumansMutation

Identifiers

PMID35595234
PMCPMC9237733
OpenAlexW4281264170

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.