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

Solun GK, Dogrusoz U, Bingöl Z, Alkan C

DOI: 10.1186/s12859-026-06555-4
Published: 2026 Jul 16
Container: BMC bioinformatics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s12859-026-06555-4,
  title = {PG2: algorithms and a web-based tool for effective layout and visual analysis of pangenome graphs.},
  author = {Solun GK and Dogrusoz U and Bingöl Z and Alkan C},
  year = {2026},
  journal = {BMC bioinformatics},
  doi = {10.1186/s12859-026-06555-4},
  url = {https://doi.org/10.1186/s12859-026-06555-4}
}

RIS

TY  - JOUR
TI  - PG2: algorithms and a web-based tool for effective layout and visual analysis of pangenome graphs.
AU  - Solun GK
AU  - Dogrusoz U
AU  - Bingöl Z
AU  - Alkan C
PY  - 2026
JO  - BMC bioinformatics
DO  - 10.1186/s12859-026-06555-4
UR  - https://doi.org/10.1186/s12859-026-06555-4
ER  -

APA

GK, S., U, D., Z, B., & C, A. (2026). PG2: algorithms and a web-based tool for effective layout and visual analysis of pangenome graphs.. BMC bioinformatics. https://doi.org/10.1186/s12859-026-06555-4

Source records

pubmed · retrieved 2026-09-26T03:53:21.747Z