Evidence map›Paper›PMID 41808454›Full record

ArticleBioinformatics (Oxford, England)2026

igv-reports: embedding interactive genomic visualizations in HTML reports to aid variant review.

James T Robinson, Helga Thorvaldsdottir, Jill P Mesirov

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

James T RobinsonDepartment of Medicine, School of Medicine, University of California San Diego, CA 92093, United States.ORCID 0000-0003-1507-9340
Helga ThorvaldsdottirBroad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Jill P MesirovDepartment of Medicine, School of Medicine, University of California San Diego, CA 92093, United States.

Funding

The Integrative Genomics Viewer (IGV) for Cancer ResearchU24CA258406 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JILL P. MESIROV, James Thomas Robinson · 2021 to 2026
$5.1M
NCI NIH HHS U24 CA258406NIH HHS U24CA258406
6 · The paper itself

Abstract

summaryWe present igv-reports, a command-line tool to create standalone HTML pages embedding interactive genomic visualizations of read alignments and associated annotations to support variant inspection workflows. The reports contain all data and code required for visualization of the variant sites, with no dependencies on the input data files. AVAILABILITY AND IMPLEMENTATION: igv-reports is a command-line application written in Python. It is freely available at https://github.com/igvteam/igv-reports under an MIT license.

Indexed as

Genetic VariationGenomicsSoftwareUser-Computer Interface

Identifiers

PMID41808454
PMCPMC13070637

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.