A framework for counting alleles in computational clouds

Authors

  • Marcio Nogueira Pereira Silva Universidade do Estado do Rio de Janeiro
  • Luís Cristóvão Pôrto Universidade do Estado do Rio de Janeiro
  • Alexandre da Costa Sena Universidade do Estado do Rio de Janeiro

DOI:

https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1312

Keywords:

Big Data, Computational Clouds, HLA alleles

Abstract

Objective: develop a framework to carry out anthropological comparisons, classify alleles, infer the waiting time of patients requiring transplantation, among other analyses. Method: comparison of donor and patient alleles using a search algorithm to, based on allele counts, perform analysis. To reduce analysis execution time, queries were optimized and parallelized, allowing their efficient execution in computing clouds. Results: the framework is capable of performing analysis in seconds, even on a database that contains more than 5 million records. Conclusion: the proposed framework has the potential to help clinicians/researchers obtain information to improve the organ donation process among unrelated donors.

Author Biographies

Marcio Nogueira Pereira Silva, Universidade do Estado do Rio de Janeiro

PhD student, Institute of Mathematics and Statistics, Universidade do Estado do Rio de Janeiro, Rio de Janeiro (RJ), Brasil.

Luís Cristóvão Pôrto, Universidade do Estado do Rio de Janeiro

PhD/Professor, Histocompatibility and Cryopreservation Laboratory, Universidade do Estado do Rio de Janeiro, Rio de Janeiro (RJ), Brasil.

Alexandre da Costa Sena, Universidade do Estado do Rio de Janeiro

PhD/Professor, Institute of Mathematics and Statistics, Universidade do Estado do Rio de Janeiro, Rio de Janeiro (RJ), Brasil.

References

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Published

2024-11-19

How to Cite

Silva, M. N. P., Pôrto, L. C., & Sena, A. da C. (2024). A framework for counting alleles in computational clouds. Journal of Health Informatics, 16(Especial). https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1312

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