PredictION: A predictive model to establish the performance of Oxford sequencing reads of SARS-CoV-2

Authors: Valencia-Valencia, David E; Alvarez, Diana Carolina Lopez; Rivera-Franco, Nelson; Castillo, Andres; Piña, Johan S; Pardo, Carlos A; Parra, Beatriz;

doi: 10.5281/zenodo.7104956 , 10.5281/zenodo.7104955

PredictION: A predictive model to establish the performance of Oxford sequencing reads of SARS-CoV-2

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Abstract

Dataset (1) that included 1461 samples and a dataset (2) with 471 samples that was a subset of dataset 1 that included Number of sequenced reads per genome, CT (Cycle threshold) value [N2 target gene], mean coverage depth, coverage genome (percentage), and quantification cDNA (ng/µl).

Related Organizations

National University of Colombia
Colombia
Johns Hopkins Medicine
United States
Universidad del Valle
Nicaragua

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