cff-version: 1.2.0
abstract: "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.<br>"
authors:
  - family-names: Anton
    given-names: Matei
    orcid: "https://orcid.org/0000-0001-7463-3386"
title: "SARS-CoV-2 variant quantification using kallisto code"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/18532973.v1
license: MIT
date-released: 2022-01-26