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| High-performance computing for SARS-CoV-2 RNAs clustering: a data science‒based genomics approach |
| Anas Oujja, Mohamed Riduan Abid, Jaouad Boumhidi, Safae Bourhnane, Asmaa Mourhir, Fatima Merchant, Driss Benhaddou |
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Genomics Inform. 2021;19(4):e49 Published online December 31, 2021 DOI: https://doi.org/10.5808/gi.21056 |
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High-performance computing for SARS-CoV-2 RNAs clustering: a data science‒based genomics approach Genomics & Informatics. 2021;19(4):e49  High Performance Computing Prediction of Potential Natural Product Inhibitors of SARS-CoV-2 Key Targets . 2020; High Performance Computing Prediction of Potential Natural Product Inhibitors of SARS-CoV-2 Key Targets . 2020; High Performance Computing Prediction of Potential Natural Product Inhibitors of SARS-CoV-2 Key Targets . 2020; Comparative study: nonsynonymous and synonymous substitution of SARS-CoV-2, SARS-CoV, and MERS-CoV genome Genomics & Informatics. 2021;19(2):e15 Experiences on Clustering High-Dimensional Data using pbdR Proceedings of the 1st International Workshop on Software Engineering for High Performance Computing in Computational and Data-enabled Science & Engineering. 2017; An Algorithm of Dynamic Grid Data Stream Clustering Based on User Service High Performance Networking, Computing, and Communication Systems. 2011;81-88 Genomics approaches to synthesize plant-based biomolecules for therapeutic applications to combat SARS-CoV-2 Genomics. 2020;112(6):4322-4331 A New Approach of Data Clustering Using Quantum Inspired Particle Swarm Optimization Based Fuzzy c-means 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence). 2021; Comparative studies on the high-performance compression of SARS-CoV-2 genome collections Briefings in Functional Genomics. 2021;21(2):103-112 |
