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Laboratorian report

The laboratorian report is the main report produced by tbp-parser and is used to generate all of the other reports. What follows is an explanation of all the columns in the report.

Explanation of column headers

Column name Explanation
sample_id The name of the sample
tbprofiler_gene_name The name of the gene where the mutation has been identified
tbprofiler_locus_tag The locus tag for the mutation that has been identified
tbprofiler_variant_substitution_type The type of mutation identified, whether or not it was a frameshift, missense, or synonymous mutation
tbprofiler_variant_substitution_nt The mutation in nucleotide format
tbprofiler_variant_substitution_aa The mutation in amino acid format, if possible
confidence Contains either:
- the WHO annotation
- an indication that there was no WHO annotation
- NA for when there is no mutation
antimicrobial The antimicrobial drug that may be affected by this mutation
looker_interpretation The drug resistance interpretation intended for the Looker report
mdl_interpretation The drug resistance interpretation intended for the LIMS report
depth The depth of coverage at the mutation
frequency The frequency of the mutation in the reads
read_support How many reads support the mutation (depth * frequency)
rationale Contains an indication of what was used (the WHO annotation, the specific expert rule used, or neither) to create the two interpretations
warning Any potential quality warnings that may indicate lower reliability
gene_tier The gene tier of the mutation’s gene (Tier 1, Tier 2, or NA)

Because of how a particular mutation may contribute resistance to different drugs at the same time, each mutation is listed multiple times, once for each antimicrobial drug that could be affected. In addition, any genes that do not have any mutations are also included in the laboratorian report with NA or WT in the appropriate field. This results in a report with many rows and often, rows with very similar values. However, the laboratorian report contains the “complete picture” of the sample and is incredibly useful for understanding the sample’s drug resistance profile.