Relational Data Models for Genetic VCF data
Summary: Systematically maps VCF/BCF into eight PostgreSQL models spanning narrow, wide, array, and JSON designs. Evaluations against BCF Tools and TileDB-VCF expose workload-dependent storage/query trade-offs, with array/JSON models offering competitive performance plus full RDBMS capabilities. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Mohamed Sabri Hafidi (Free University of Bolzano)
- 2. Ozan Kahramanoğulları (Free University of Bolzano)
- 3. Anton Dignös (Free University of Bolzano)
- 4. Johann Gamper (Free University of Bolzano)
BibTeX Citation
@article{hafidi_vldb25,
title = {{Relational Data Models for Genetic VCF data}},
author = {Hafidi, Mohamed Sabri and Kahramanoğulları, Ozan and Dignös, Anton and Gamper, Johann},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4045--4053},
doi = {10.14778/3749646.3749674},
url = {https://doi.org/10.14778/3749646.3749674},
year = {2025}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 669 | The TileDB Array Data Storage Manager | 2017 | VLDB | 0.00015163245 |
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