CGG_2025v16n4

Cotton Genomics and Genetics 2025, Vol.16, No.4, 202-209 http://cropscipublisher.com/index.php/cgg 209 Molnár-Gábor F., Lueck R., Yakneen S., and Korbel J., 2017, Computing patient data in the cloud: practical and legal considerations for genetics and genomics research in Europe and internationally, Genome Medicine, 9(1): 58. https://doi.org/10.1186/s13073-017-0449-6 O'Driscoll A., Daugelaite J., and Sleator R., 2013, 'Big data', Hadoop and cloud computing in genomics, Journal of Biomedical Informatics, 46(5): 774-781. https://doi.org/10.1016/j.jbi.2013.07.001 Ogasawara O., 2022, Building cloud computing environments for genome analysis in Japan, Human Genome Variation, 9(1): 46. https://doi.org/10.1038/s41439-022-00223-8 Satish K., 2024, Database security issues and challenges in cloud computing, International Journal on Recent and Innovation Trends in Computing and Communication, 11(11): 937-943. https://doi.org/10.17762/ijritcc.v11i11.10396 Sheri V., Mohan H., Jogam P., Alok A., Rohela G., and Zhang B., 2025, CRISPR/Cas genome editing for cotton precision breeding: mechanisms, advances, and prospects, Journal of Cotton Research, 8(1): 4. https://doi.org/10.1186/s42397-024-00206-w Tang H., Jiang X., Wang X., Wang S., Sofia H., Fox D., Lauter K., Malin B., Telenti A., Xiong L., and Ohno-Machado L., 2016, Protecting genomic data analytics in the cloud: state of the art and opportunities, BMC Medical Genomics, 9(1): 63. https://doi.org/10.1186/s12920-016-0224-3 Thesma V., Rains G., and Mohammadpour J., 2024, Development of a low-cost distributed computing pipeline for high-throughput cotton phenotyping, Sensors, 24(3): 970. https://doi.org/10.3390/s24030970 Wang L.T., and Wang H.M., 2024, Big data in genomics: overcoming challenges through high-performance computing, Computational Molecular Biology, 14(4): 155-162. https://doi.org/10.5376/cmb.2024.14.0018 Yang Z., Gao C., Zhang Y., Yan Q., Hu W., Yang L., Wang Z., and Li F., 2022a, Recent progression and future perspectives in cotton genomic breeding, Journal of Integrative Plant Biology, 65(2): 548-569. https://doi.org/10.1111/jipb.13388 Yang Z., Wang J., Huang Y., Wang S., Wei L., Liu D., Weng Y., Xiang J., Zhu Q., Yang Z., Nie X., Yu Y., Yang Z., and Yang Q., 2022b, CottonMD: a multi-omics database for cotton biological study, Nucleic Acids Research, 51(D1): D1446-D1456. https://doi.org/10.1093/nar/gkac863 Yu J., Jung S., Cheng C., Ficklin S., Lee T., Zheng P., Jones D., Percy R., and Main D., 2013, CottonGen: a genomics, genetics and breeding database for cotton research, Nucleic Acids Research, 42(D1): D1229-D1236. https://doi.org/10.1093/nar/gkt1064 Yu J., Jung S., Cheng C., Lee T., Zheng P., Buble K., Crabb J., Humann J., Hough H., Jones D., Campbell J., Udall J., and Main D., 2015, CottonGen: the community database for cotton genomics, genetics, and breeding research, Plants, 10(12): 2805. https://doi.org/10.3390/plants10122805 Zhu S.J., and Luo M.T., 2024, Advancements in pest management techniques for cotton crops, Bioscience Methods, 15(4): 196-206. https://doi.org/10.5376/bm.2024.15.0020 Zhu T., Liang C., Meng Z., Sun G., Meng Z., Guo S., and Zhang R., 2017, CottonFGD: an integrated functional genomics database for cotton, BMC Plant Biology, 17(1): 101. https://doi.org/10.1186/s12870-017-1039-x

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