Bioinformatics
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Characterizing flexibility and mobility in the natural mutations of the SARS-CoV-2 spikes
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The snoGloBe interaction predictor reveals a broad spectrum of C/D snoRNA RNA targets
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Positional SHAP (PoSHAP) for Interpretation of Machine Learning Models Trained from Biological Sequences
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Real-time monitoring and analysis of SARS-CoV-2 nanopore sequencing with minoTour
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Elucidation of the interactions between SARS-CoV-2 Spike protein and wild and mutant types of IFITM proteins by in silico methods
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Both Simulation and Sequencing Data Reveal Multiple SARS-CoV-2 Variants Coinfection in COVID-19 Pandemic
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Altered interaction between RBD and ACE2 receptor contributes towards the increased transmissibility of SARS CoV-2 delta, kappa, beta, and gamma strains with RBD double mutations
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RNA splicing programs define tissue compartments and cell types at single cell resolution
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(Machine) Learning the mutation signatures of SARS-CoV-2: a primer for predictive prognosis
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From Alpha to Zeta: Identifying variants and subtypes of SARS-CoV-2 via clustering
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