This study was done in two parts. The first part computationally compares the phylogenetic resolution that is achieved by combining 3 currently available databases, 2 taxonomic classifiers, and 7 subsequences from the 16S rRNA gene sequence into 42 classification schemes.
The second part of the study was to validate one of the classification schemes by comparing the computational outcome with data generated from targeted amplicon sequencing of bacterial DNA obtained from urine samples.
evaluation/
: code for calculating the recall, precision and F-measure of the classification schemes’ resultshandle_newick/
: helper functionsresources/
: resource files for the repositorysliding_window/
: code for performing the sliding window analysis of the 16S rRNA gene sequencesplit_to_vr/
: code for extracting simulated amplicons of the 16S rRNA gene sequencetaxonomy/
: code for handling the assigned taxonomy from the classification schemestesting/
: python and R tests