Bioinformatics
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Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2
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Genomic variance of the 2019-nCoV coronavirus
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Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring
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On the many advantages of using the VariantExperiment class to store, exchange and analyze SARS-CoV-2 genomic data and associated metadata
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A missense variant effect prediction and annotation resource for SARS-CoV-2
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Improving COVID-19 Testing Efficiency using Guided Agglomerative Sampling
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Recombination and low-diversity confound homoplasy-based methods to detect the effect of SARS-CoV-2 mutations on viral transmissibility
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Identification of potential key genes for SARS-CoV-2 infected human bronchial organoids based on bioinformatics analysis
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Accelerating COVID-19 research with graph mining and transformer-based learning
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Emerging SARS-CoV-2 mutation hotspots associated with clinical outcomes
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