Evidence map›Paper›PMID 32502231›Full record

ArticleBioinformatics (Oxford, England)2020

CoMut: visualizing integrated molecular information with comutation plots.

Jett Crowdis, Meng Xiao He, Brendan Reardon, Eliezer M Van Allen

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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  9. Learning Patient Similarity from Genomics for Precision Oncology.medRxiv : the preprint server for health sciences · 2025
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  11. Lymphotoxin-driven cancer cell eradication by tumoricidal CD8bioRxiv : the preprint server for biology · 2025
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  12. Melanoma to rhabdomyosarcoma plasticity in the setting of immunotherapy.medRxiv : the preprint server for health sciences · 2025
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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.

Jett CrowdisDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Meng Xiao HeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Brendan ReardonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Eliezer M Van AllenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.

Funding

MOLECULAR BIOPHYSICS TRAINING GRANTT32GM008313 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI MURTHY, VENKATESH N · 1989 to 2023
$14.6M
Molecular and immune drivers of immunotherapy responsiveness in prostate cancerU01CA233100 · NCI · DANA-FARBER CANCER INST · PI FONG, LAWRENCE, VAN ALLEN, ELIEZER M · 2018 to 2022
$4.2M
Molecular Origins and Evolution to Chemoresistance in Germ Cell TumorsR37CA222574 · NCI · DANA-FARBER CANCER INST · PI VAN ALLEN, ELIEZER M · 2018 to 2024
$3.2M
Integrative Somatic and Germline Computational Biology to Redefine Clinical Actionability in Solid TumorsR01CA227388 · NCI · DANA-FARBER CANCER INST · PI VAN ALLEN, ELIEZER M · 2018 to 2022
$2.0M
A statistical framework to systematically characterize cancer driver mutations in noncoding genomic regionsR21CA242861 · NCI · DANA-FARBER CANCER INST · PI VAN ALLEN, ELIEZER M · 2019 to 2020
$603k
NCI NIH HHS R01 CA227388NCI NIH HHS R21 CA242861NCI NIH HHS R37 CA222574NCI NIH HHS U01 CA233100NIGMS NIH HHS T32 GM008313
6 · The paper itself

Abstract

motivationLarge-scale sequencing studies have created a need to succinctly visualize genomic characteristics of patient cohorts linked to widely variable phenotypic information. This is often done by visualizing the co-occurrence of variants with comutation plots. Current tools lack the ability to create highly customizable and publication quality comutation plots from arbitrary user data.

resultsWe developed CoMut, a stand-alone, object-oriented Python package that creates comutation plots from arbitrary input data, including categorical data, continuous data, bar graphs, side bar graphs and data that describes relationships between samples. AVAILABILITY AND IMPLEMENTATION: The CoMut package is open source and is available at https://github.com/vanallenlab/comut under the MIT License, along with documentation and examples. A no installation, easy-to-use implementation is available on Google Colab (see GitHub).

Indexed as

GenomicsSoftwareDocumentationGenomeHumans

Identifiers

PMID32502231
PMCPMC7520041

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LicenceCC BY-NC
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Registered trials

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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.