Evidence map›Paper›PMID 42464101›Full record

ArticleBMC bioinformatics2026

PG2: algorithms and a web-based tool for effective layout and visual analysis of pangenome graphs.

Görkem Kadir Solun, Ugur Dogrusoz, Zülal Bingöl, Can Alkan

Abstract read
In one paragraph

Article in BMC bioinformatics, 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

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.

Görkem Kadir Soluni-Vis Research Lab, Computer Engineering Department, Bilkent University, 06800, Ankara, Turkey.
Ugur Dogrusozi-Vis Research Lab, Computer Engineering Department, Bilkent University, 06800, Ankara, Turkey. ugur@cs.bilkent.edu.tr.
Zülal BingölBioinformatics and Computational Genomics Group, Computer Engineering Department, Bilkent University, 06800, Ankara, Turkey.
Can AlkanBioinformatics and Computational Genomics Group, Computer Engineering Department, Bilkent University, 06800, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advent of cost-effective whole-genome assembly has enabled the creation of comprehensive pangenomes with resolved haplotypes across various organisms. This technological leap drives the refinement of tailored methodologies to manage the intricate sequences and variations in extensive collections of related genomes. These methodologies often utilize graphical representations of pangenomes to enhance algorithms for tasks like sequence alignment, visualization, and functional genomics. Leveraging the insights provided by pangenomes, these approaches exhibit improved efficiency in bioinformatics tasks such as read mapping, variant calling, and genotyping. Pangenome graphs are positioned to become invaluable assets in genomics, offering seamless reconciliation of diverse sequence and coordinate systems. While their potential to replace linear reference genomes is uncertain, their adaptability ensures their utility in future pangenomic models. Utilizing graphs for visual representation aids in exploring critical insights and identifying key patterns, facilitating analysis by highlighting connections, trends, and patterns for improved comprehension.

resultsTowards this goal, we present some algorithms to effectively layout and visually analyze pangenome graphs. Then, we introduce an open-source, flexible, easy-to-use, web-based platform named PG2 (PanGenoGrapher), realizing these algorithms.

conclusionsOur primary objective here is to incorporate the capabilities of advanced visualization techniques into the analysis of pangenome graphs, thereby enhancing their utility and accessibility for researchers and practitioners in the field. The source code and user guide are openly available on GitHub at https://github.com/iVis-at-Bilkent/pangenographer . A publicly accessible sample deployment is hosted at http://pg2.cs.bilkent.edu.tr . In addition, a demonstration video illustrating the primary use cases of PG2 is available at https://www.youtube.com/watch?v=yCd7-aGY6CQ .

Indexed as

AlgorithmsGenomeGenomicsInternetSoftwareComputational BiologyComputer GraphicsBioinformatics toolsGraph layoutGraph visualizationPangenomePangenome graphs

Identifiers

PMID42464101
PMCPMC13660043

What OpenQuestion holds

Textmetadata
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.