Bioinformatics
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Screening key genes and signaling pathways in COVID-19 infection and its associated complications by integrated bioinformatics analysis
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Identifying The “Core” Transcriptome of SARS-CoV-2 Infected Cells
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IL13Pred: A method for predicting immunoregulatory cytokine IL-13 inducing peptides for managing COVID-19 severity
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Demographic Analysis of Mutations in Indian SARS-CoV-2 Isolates
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A Genotype-to-Phenotype Modeling Framework to Predict Human Pathogenicity of Novel Coronaviruses
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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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