Evidence map›Paper›PMID 41454279›Full record

ArticleBMC genomics2025

SyBValS: a validation and error resolution service for biological pathway maps.

Yusuf Ziya Ozgul, Ugur Dogrusoz, Hasan Balci

Abstract read
In one paragraph

Article in BMC genomics, 2025. 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

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.

Yusuf Ziya Ozguli-Vis Research Lab, Computer Engineering Department, Bilkent University, Universiteler Mh, Ankara, 06800, Turkey.
Ugur Dogrusozi-Vis Research Lab, Computer Engineering Department, Bilkent University, Universiteler Mh, Ankara, 06800, Turkey. ugur@cs.bilkent.edu.tr.
Hasan Balcii-Vis Research Lab, Computer Engineering Department, Bilkent University, Universiteler Mh, Ankara, 06800, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective visualization of relational data is essential for thorough analysis, including in biological research. Annotating and depicting biological models in universally recognized formats is essential. Additionally, uncovering graph-theoretical characteristics within pathways and pinpointing specific paths or subgraphs within them are vital aspects of pathway data analysis. Standard formats such as SBGN impose stringent rules regarding the interaction among biological entities. However, many users tend to overlook or disregard these rules, resulting in the need to rectify them to ensure the validity of the map model.

resultsIn response to this issue, we developed a web service called SyBValS. SyBValS begins by validating a pathway in SBGN process description format. Any encountered errors are documented along with relevant explanations and color-coded on an automatically laid out and generated map. If preferred, SyBValS can endeavor to rectify these errors whenever feasible, updating both the error list and the corresponding map image accordingly. AVAILABILITY: SyBValS is open-source, available on GitHub , and distributed freely under the MIT license. Additionally, a sample deployment is accessible here for public use.

Indexed as

Computational BiologySoftwareInternetBioinformatics toolsBiological pathwaysGraph layoutGraph visualizationSBGN

Identifiers

PMID41454279
PMCPMC12853741

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.