The goal of elixr-casestudy01 is to host the code used for a
serological survey workflow to:
- Collect multiple plate files in a single file using
{plater}, - Standardize Antibody Units across multiple plates using method proposed by Miura K, 2008, and
- Classify the seropositivity of the Antibody Units of the sample using method proposed by Sepulveda N, 2015
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Clone this repository. Follow this steps to create a new Rstudio Project from a GitHub repository.
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Restore the dependencies of this R project, with specific packages and versions, with
renv::restore(). -
Run:
source("make.R")See our Contributing guide for ways to get started.
Please adhere to this project’s Code of Conduct.
Please see our Getting help guide for support.
Many thanks for the opportunity to work on this project to the team at:
Laboratorio de Biología Molecular e Inmunología, Unidad Especializada de Investigación en Productos Naturales Antiparasitarios de la Amazonia, Centro de Investigación en Recursos Naturales (CIRNA), Universidad Nacional de la Amazonia Peruana (UNAP), Iquitos - Perú.
Miura K, Orcutt AC, Muratova OV, Miller LH, Saul A, Long CA. Development and characterization of a standardized ELISA including a reference serum on each plate to detect antibodies induced by experimental malaria vaccines. Vaccine. 2008;26(2):193-200. doi: 10.1016/j.vaccine.2007.10.064.
Sepúlveda N, Stresman G, White MT, Drakeley CJ. Current mathematical models for analyzing anti-malarial antibody data with an eye to malaria elimination and eradication. Journal of Immunology Research. 2015;2015:1-21. doi: 10.1155/2015/738030.
Saavedra-Langer, R., Marapara, J., Valle-Campos, A., Durand, S., Vásquez-Chasnamote, M. E., Silva, H., & Pinedo-Cancino, V. (2018). IgG subclass responses to excreted-secreted antigens of Plasmodium falciparum in a low-transmission malaria area of the Peruvian Amazon. Malaria journal, 17(1), 1-10. doi: 10.1186/s12936-018-2471-6.