SoftwareApplication
identifier: 10.4121/18532973
name: SARS-CoV-2 variant quantification using kallisto code
description: SARS-CoV-2 variant quantification using kallisto code
description: 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.
author: https://orcid.org/0000-0001-7463-3386
keywords: kallisto
keywords: COVID-19
keywords: Wastewater monitoring
keywords: SARS-CoV-2
license:
  creative work: creativeWork
    name: MIT

https://orcid.org/0000-0001-7463-3386
type: Person
given name: Matei
family name: Anton
name: Matei Anton