Evidence map›Paper›PMID 31091262›Full record

ArticlePloS one2019

Mutplot: An easy-to-use online tool for plotting complex mutation data with flexibility.

Weiwei Zhang, Cheng Wang, Xuan Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Insight into Protein Engineering: FromCurrent pharmaceutical design · 2025
    Review
  5. A Novel Human SDHA-Knockout Cell Line Model for the Functional Analysis of Clinically Relevant SDHA Variants.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  6. Article
  7. Impact of EGFRESMO open · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Heritable Susceptibility to Breast Cancer among African-American Women in the Detroit Research on Cancer Survivors Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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

3 authors at 1 institution in 1 country.

Weiwei ZhangDepartment of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, Nebraska.ORCID 0000-0002-6123-8034
Cheng WangDepartment of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, Nebraska.
Xuan ZhangDepartment of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, Nebraska.
University of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the development of technology, an enormous amount of sequencing data is being generated rapidly. However, transforming this data into patient care is a critical challenge. There are two difficulties: how to integrate functional information into mutation interpretation and how to make the integration easy to apply. One solution is to visualize amino acid changes with protein structure and function in web app platform. There are multiple existing tools for plotting mutations, but the majority of them requires programming skills that are not common background for clinicians or researchers. Furthermore, the recurrent mutations are the focus and the recurrence cutoff varies. Yet, none of the current software offers customer-defined cutoff. Thus, we developed this user-friendly web-based tool, Mutplot (https://bioinformaticstools.shinyapps.io/lollipop/). Mutplot retrieves up-to-date domain information from the protein resource UniProt (https://www.uniprot.org/), integrates the submitted mutation information and produces lollipop diagrams with annotations and highlighted candidates. It offers flexible output options. For data that follows security standards, the app can also be hosted in web servers inside a firewall or computers without internet with Uniprot database stored on them. Altogether, Mutplot is an excellent tool for visualizing protein mutations, especially for clinicians or researchers without any bioinformatics background.

Indexed as

DNA Mutational AnalysisComputational BiologyHigh-Throughput Nucleotide Sequencing

Identifiers

PMID31091262
PMCPMC6519802
OpenAlexW2946113316

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.