Evidence map›Paper›PMID 34534268›Full record

ArticleBioinformatics (Oxford, England)2022

Viola: a structural variant signature extractor with user-defined classifications.

Itsuki Sugita, Shohei Matsuyama, Hiroki Dobashi, Daisuke Komura, Shumpei Ishikawa

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Ultrasensitive Detection and Monitoring of Circulating Tumor DNA Using Structural Variants in Early-Stage Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  4. A review on trends in development and translation of omics signatures in cancer.Computational and structural biotechnology journal · 2024
    Review
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.

Itsuki SugitaDepartment of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 1130033, Japan.
Shohei MatsuyamaFaculty of Medicine, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo 1138510, Japan.
Hiroki DobashiFaculty of Medicine, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo 1138510, Japan.
Daisuke KomuraDepartment of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 1130033, Japan.ORCID 0000-0002-0038-728X
Shumpei IshikawaDepartment of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo 1130033, Japan.

Funding

AMED P-CREATE JP20cm0106551
6 · The paper itself

Abstract

summaryHere, we present Viola, a Python package that provides structural variant (SV; large scale genome DNA variations that can result in disease, e.g. cancer) signature analytical functions and utilities for custom SV classification, merging multi-SV-caller output files and SV annotation. We demonstrate that Viola can extract biologically meaningful SV signatures from publicly available SV data for cancer and we evaluate the computational time necessary for annotation of the data. AVAILABILITY AND IMPLEMENTATION: Viola is available on pip (https://pypi.org/project/Viola-SV/) and the source code is on GitHub (https://github.com/dermasugita/Viola-SV). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

NeoplasmsViolaHumansSoftware

Identifiers

PMID34534268
PMCPMC8723148

What OpenQuestion holds

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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.