XVCF: Exquisite visualization of VCF data from genomic experiments

Ghaida Almuneef, Abdulrhman Aljouie, Yahya Bokhari, Ahmed Almazroa, Mamoon Rashid

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DOI: 10.1016/j.slast.2026.100447
Published: 2026-09
Container: SLAS Technology
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.slast.2026.100447,
  title = {XVCF: Exquisite visualization of VCF data from genomic experiments},
  author = {Ghaida Almuneef and Abdulrhman Aljouie and Yahya Bokhari and Ahmed Almazroa and Mamoon Rashid},
  year = {2026},
  journal = {SLAS Technology},
  doi = {10.1016/j.slast.2026.100447},
  url = {https://doi.org/10.1016/j.slast.2026.100447}
}

RIS

TY  - JOUR
TI  - XVCF: Exquisite visualization of VCF data from genomic experiments
AU  - Ghaida Almuneef
AU  - Abdulrhman Aljouie
AU  - Yahya Bokhari
AU  - Ahmed Almazroa
AU  - Mamoon Rashid
PY  - 2026
JO  - SLAS Technology
DO  - 10.1016/j.slast.2026.100447
UR  - https://doi.org/10.1016/j.slast.2026.100447
ER  -

APA

Almuneef, G., Aljouie, A., Bokhari, Y., Almazroa, A., & Rashid, M. (2026). XVCF: Exquisite visualization of VCF data from genomic experiments. SLAS Technology. https://doi.org/10.1016/j.slast.2026.100447

Source records

crossref · retrieved 2026-09-25T10:40:03.390Z