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SARS-CoV-2 variant quantification using kallisto code

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posted on 26.01.2022, 14:07 authored by Matei AntonMatei Anton
Code used together with its results for the paper as part of my Bachelor's Thesis project. The research consists of optimizing the kallisto algorithm for predicting the abundances of SARS-CoV-2 variants in wastewater samples. Specifically, I look at how only sequencing certain regions of the genome influences the prediction accuracy of this pipeline.

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4TU.ResearchData

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.py, .sh, .csv, .json, .txt, .fa, .fastq, .tsv, .fasta, .png, .md, .svg

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TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science

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