SAIGE-GPU: accelerating genome- and phenome-wide association studies using GPUs.
- DOI
- 10.1093/bioinformatics/btag032
- Published
- 2026 Feb 28
- Container
- Bioinformatics (Oxford, England)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1093/bioinformatics/btag032,
title = {SAIGE-GPU: accelerating genome- and phenome-wide association studies using GPUs.},
author = {Rodriguez A and Kim Y and Nandi TN and Keat K and Kumar R and Conery M and Bhukar R and Liu M and Hessington J and Maheshwari K and VA Million Veteran Program and Begoli E and Tourassi G and Muralidhar S and Natarajan P and Voight BF and Cho K and Gaziano JM and Damrauer SM and Liao KP and Zhou W and Huffman JE and Verma A and Madduri RK},
year = {2026},
journal = {Bioinformatics (Oxford, England)},
doi = {10.1093/bioinformatics/btag032},
url = {https://doi.org/10.1093/bioinformatics/btag032}
}RIS
TY - JOUR TI - SAIGE-GPU: accelerating genome- and phenome-wide association studies using GPUs. AU - Rodriguez A AU - Kim Y AU - Nandi TN AU - Keat K AU - Kumar R AU - Conery M AU - Bhukar R AU - Liu M AU - Hessington J AU - Maheshwari K AU - VA Million Veteran Program AU - Begoli E AU - Tourassi G AU - Muralidhar S AU - Natarajan P AU - Voight BF AU - Cho K AU - Gaziano JM AU - Damrauer SM AU - Liao KP AU - Zhou W AU - Huffman JE AU - Verma A AU - Madduri RK PY - 2026 JO - Bioinformatics (Oxford, England) DO - 10.1093/bioinformatics/btag032 UR - https://doi.org/10.1093/bioinformatics/btag032 ER -
APA
A, R., Y, K., TN, N., K, K., R, K., M, C., R, B., M, L., J, H., K, M., Program, V. M. V., E, B., G, T., S, M., P, N., BF, V., K, C., JM, G., SM, D., KP, L., W, Z., JE, H., A, V., & RK, M. (2026). SAIGE-GPU: accelerating genome- and phenome-wide association studies using GPUs.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag032
Source records
- pubmed · retrieved 2026-09-24T23:27:51.784Z