%0 Computer Program
%A Anton, Matei
%D 2022
%T SARS-CoV-2 variant quantification using kallisto code
%U https://data.4tu.nl/articles/software/SARS-CoV-2_variant_quantification_using_kallisto_code/18532973/1
%R 10.4121/18532973.v1
%K kallisto
%K Covid-19
%K SARS-CoV-2
%K Wastewater monitoring
%X 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>
%I 4TU.ResearchData