Evidence map›Paper›PMID 34817058›Full record

ArticleGigaScience2021

CNVpytor: a tool for copy number variation detection and analysis from read depth and allele imbalance in whole-genome sequencing.

Milovan Suvakov, Arijit Panda, Colin Diesh, Ian Holmes, Alexej Abyzov

Abstract read
In one paragraph

Article in GigaScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing 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

86 citing papers in PubMed.

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  13. Genome-Wide Analysis of Copy Number Variation in Vietnamese Local Chickens.Animals : an open access journal from MDPI · 2026
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26 more citing papers are in PubMed but not listed here.

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

5 authors.

Milovan SuvakovDepartment of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-5839-9611
Arijit PandaDepartment of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Colin DieshDepartment of Bioengineering, University of California, Berkeley, CA 94720, USA.
Ian HolmesDepartment of Bioengineering, University of California, Berkeley, CA 94720, USA.
Alexej AbyzovDepartment of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA.

Funding

Detection of somatic, subclonal and mosaic CNVs from sequencingU24CA220242 · NCI · MAYO CLINIC ROCHESTER · PI ABYZOV, ALEXEJ · 2018 to 2022
$2.6M
NCI NIH HHS U24 CA220242
6 · The paper itself

Abstract

backgroundDetecting copy number variations (CNVs) and copy number alterations (CNAs) based on whole-genome sequencing data is important for personalized genomics and treatment. CNVnator is one of the most popular tools for CNV/CNA discovery and analysis based on read depth.

findingsHerein, we present an extension of CNVnator developed in Python-CNVpytor. CNVpytor inherits the reimplemented core engine of its predecessor and extends visualization, modularization, performance, and functionality. Additionally, CNVpytor uses B-allele frequency likelihood information from single-nucleotide polymorphisms and small indels data as additional evidence for CNVs/CNAs and as primary information for copy number-neutral losses of heterozygosity.

conclusionsCNVpytor is significantly faster than CNVnator-particularly for parsing alignment files (2-20 times faster)-and has (20-50 times) smaller intermediate files. CNV calls can be filtered using several criteria, annotated, and merged over multiple samples. Modular architecture allows it to be used in shared and cloud environments such as Google Colab and Jupyter notebook. Data can be exported into JBrowse, while a lightweight plugin version of CNVpytor for JBrowse enables nearly instant and GUI-assisted analysis of CNVs by any user. CNVpytor release and the source code are available on GitHub at https://github.com/abyzovlab/CNVpytor under the MIT license.

Indexed as

DNA Copy Number VariationsSoftwareAllelesGenomicsHigh-Throughput Nucleotide SequencingSequence Analysis, DNAWhole Genome Sequencingcopy number alternationscopy number variationsPythonwhole-genome sequencing

Identifiers

PMID34817058
PMCPMC8612020

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.