Evidence map›Paper›PMID 40463403›Full record

ArticleBioinformatics advances2025

jdispatcher-viewers: interactive visualizations of sequence similarity search results and domain predictions.

Fábio Madeira, Joonheung Lee, Nandana Madhusoodanan, Alberto Eusebi, Ania Niewielska, Sarah Butcher

Abstract read
In one paragraph

Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Fábio MadeiraEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.ORCID https://orcid.org/0000-0001-8728-9449
Joonheung LeeEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
Nandana MadhusoodananEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
Alberto EusebiEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
Ania NiewielskaEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.ORCID https://orcid.org/0000-0003-0989-3389
Sarah ButcherEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Biological visualization is an important technique for researchers to make sense of complex biological data. Functional prediction and the discovery of novel proteins remain central objectives in biology, as they provide insights into molecular mechanisms with significant applications in health and disease. Visualizing sequence similarity search results and domain predictions is essential for exploring protein function, identifying conserved elements, and drawing meaningful connections between sequences, ultimately accelerating discovery. Results: The new website for the EMBL-EBI Job Dispatcher bioinformatics tools framework, was released in 2023. Along with improvements and new features, the website has since integrated interactive visualizations designed to aid researchers further and enrich the user experience. Here, we describe jdispatcher-viewers, a library for the interactive visualization of sequence similarity search results from BLAST and FASTA, and interactive visualizations of domain predictions and annotations provided by InterPro. Availability and implementation: The jdispatcher-viewers library and documentation which includes a demo webpage are available from https://github.com/ebi-jdispatcher/jdispatcher-viewers. Interactive visualizations provided among the result pages of sequence similarity search tools in Job Dispatcher have been implemented using jdispatcher-viewers, and are available at https://www.ebi.ac.uk/jdispatcher/sss. The library is distributed under the Apache 2.0 license.

Identifiers

PMID40463403
PMCPMC12133269

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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.