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Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience.

AAS open research

Ahmed AE, Mpangase PT, Panji S, Baichoo S, Souilmi Y, Fadlelmola FM, Alghali M, Aron S, Bendou H, De Beste E, Mbiyavanga M, Souiai O, Yi L, Zermeno J, Armstrong D, O'Connor BD, Mainzer LS, Crusoe MR, Meintjes A, Van Heusden P, Botha G, Joubert F, Jongeneel CV, Hazelhurst S, Mulder N.
PMID: 32382696
AAS Open Res. 2018 Apr 18;1:9. doi: 10.12688/aasopenres.12847.1. eCollection 2018.

The need for portable and reproducible genomics analysis pipelines is growing globally as well as in Africa, especially with the growth of collaborative projects like the Human Health and Heredity in Africa Consortium (H3Africa). The Pan-African H3Africa Bioinformatics Network...

Cite
Ahmed AE, Mpangase PT, Panji S, et al. Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience. AAS Open Res. 2018;1:9doi: 10.12688/aasopenres.12847.1.
Ahmed, A. E., Mpangase, P. T., Panji, S., Baichoo, S., Souilmi, Y., Fadlelmola, F. M., Alghali, M., Aron, S., Bendou, H., De Beste, E., Mbiyavanga, M., Souiai, O., Yi, L., Zermeno, J., Armstrong, D., O'Connor, B. D., Mainzer, L. S., Crusoe, M. R., Meintjes, A., Van Heusden, P., Botha, G., Joubert, F., Jongeneel, C. V., Hazelhurst, S., & Mulder, N. (2018). Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience. AAS open research, 19. https://doi.org/10.12688/aasopenres.12847.1
Ahmed, Azza E, et al. "Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience." AAS open research vol. 1 (2018): 9. doi: https://doi.org/10.12688/aasopenres.12847.1
Ahmed AE, Mpangase PT, Panji S, Baichoo S, Souilmi Y, Fadlelmola FM, Alghali M, Aron S, Bendou H, De Beste E, Mbiyavanga M, Souiai O, Yi L, Zermeno J, Armstrong D, O'Connor BD, Mainzer LS, Crusoe MR, Meintjes A, Van Heusden P, Botha G, Joubert F, Jongeneel CV, Hazelhurst S, Mulder N. Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience. AAS Open Res. 2018 Apr 18;1:9. doi: 10.12688/aasopenres.12847.1. eCollection 2018. PMID: 32382696; PMCID: PMC7194140.
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Ramadan is not associated with increased infection risk in Pakistani and Bangladeshi populations: Findings from controlled interrupted time series analysis of UK primary care data.

PloS one

Almulhem M, Thayakaran R, Hanif S, Gooden T, Thomas N, Hazlehurst J, Tahrani AA, Hanif W, Nirantharakumar K.
PMID: 35025960
PLoS One. 2022 Jan 13;17(1):e0262530. doi: 10.1371/journal.pone.0262530. eCollection 2022.

BACKGROUND: The effect of fasting on immunity is unclear. Prolonged fasting is thought to increase the risk of infection due to dehydration. This study describes antibiotic prescribing patterns before, during, and after Ramadan in a primary care setting within...

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Almulhem M, Thayakaran R, Hanif S, et al. Ramadan is not associated with increased infection risk in Pakistani and Bangladeshi populations: Findings from controlled interrupted time series analysis of UK primary care data. PLoS One. 2022;17(1):e0262530doi: 10.1371/journal.pone.0262530.
Almulhem, M., Thayakaran, R., Hanif, S., Gooden, T., Thomas, N., Hazlehurst, J., Tahrani, A. A., Hanif, W., & Nirantharakumar, K. (2022). Ramadan is not associated with increased infection risk in Pakistani and Bangladeshi populations: Findings from controlled interrupted time series analysis of UK primary care data. PloS one, 17(1), e0262530. https://doi.org/10.1371/journal.pone.0262530
Almulhem, Munerah, et al. "Ramadan is not associated with increased infection risk in Pakistani and Bangladeshi populations: Findings from controlled interrupted time series analysis of UK primary care data." PloS one vol. 17,1 (2022): e0262530. doi: https://doi.org/10.1371/journal.pone.0262530
Almulhem M, Thayakaran R, Hanif S, Gooden T, Thomas N, Hazlehurst J, Tahrani AA, Hanif W, Nirantharakumar K. Ramadan is not associated with increased infection risk in Pakistani and Bangladeshi populations: Findings from controlled interrupted time series analysis of UK primary care data. PLoS One. 2022 Jan 13;17(1):e0262530. doi: 10.1371/journal.pone.0262530. eCollection 2022. PMID: 35025960; PMCID: PMC8757987.
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