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fixed mlst columns
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erinyoung committed Mar 13, 2024
1 parent 1c08b25 commit a91a83e
Showing 1 changed file with 52 additions and 52 deletions.
104 changes: 52 additions & 52 deletions bin/summary.py
Original file line number Diff line number Diff line change
Expand Up @@ -562,58 +562,58 @@ def fill_coverage(row):

# reducing to the top 1 or 2 results for each analysis
final_columns = [
# general information
'coverage',
'per_core_genome_genes',
'fastqc_total_sequences',
'fastqc_flagged_sequences',
'fastqc_avg_length',
'fastp_passed_reads',
'bbduk_phix_reads',
'quast_#_contigs',
'quast_gc_(%)',
'warnings',
'circulocov_unmapped_reads',
'amrfinder_genes_(per_cov/per_ident)',

# species
'predicted_organism',
'mlst_matching_PubMLST_scheme',
'mlst_ST',
'fastani_top_organism',
'fastani_top_reference',
'fastani_top_ani_estimate',
'fastani_top_total_query_sequence_fragments',
'fastani_top_fragments_aligned_as_orthologous_matches',
'mash_reference',
'mash_mash-distance',
'mash_p-value',
'mash_matching-hashes',
'mash_organism',
'plasmidfinder_plasmid_(identity)',

# contamination
'blobtools_organism_(per_mapped_reads)',
'kraken2_organism_(per_fragment)',

# species specific information
'seqsero2_predicted_antigenic_profile',
'seqsero2_predicted_serotype',
'emmtyper_predicted_emm-type',
'kleborate_virulence_score',
'kleborate_resistance_score',
'kaptive_best_match_locus_O',
'kaptive_best_match_locus_K',
'elgato_st',
'mykrobe_phylo_group',
'mykrobe_species',
'mykrobe_lineage',
'drprg_susceptibility',
'pbptyper_pbptype',
'serotypefinder_Serotype_O',
'serotypefinder_Serotype_H',
'shigatyper_prediction',
'shigatyper_hit']
# general information
'coverage',
'per_core_genome_genes',
'fastqc_total_sequences',
'fastqc_flagged_sequences',
'fastqc_avg_length',
'fastp_passed_reads',
'bbduk_phix_reads',
'quast_#_contigs',
'quast_gc_(%)',
'warnings',
'circulocov_unmapped_reads',
'amrfinder_genes_(per_cov/per_ident)',

# species
'predicted_organism',
'mlst_matching_pubmlst_scheme',
'mlst_st',
'fastani_top_organism',
'fastani_top_reference',
'fastani_top_ani_estimate',
'fastani_top_total_query_sequence_fragments',
'fastani_top_fragments_aligned_as_orthologous_matches',
'mash_reference',
'mash_mash-distance',
'mash_p-value',
'mash_matching-hashes',
'mash_organism',
'plasmidfinder_plasmid_(identity)',

# contamination
'blobtools_organism_(per_mapped_reads)',
'kraken2_organism_(per_fragment)',

# species specific information
'seqsero2_predicted_antigenic_profile',
'seqsero2_predicted_serotype',
'emmtyper_predicted_emm-type',
'kleborate_virulence_score',
'kleborate_resistance_score',
'kaptive_best_match_locus_O',
'kaptive_best_match_locus_K',
'elgato_st',
'mykrobe_phylo_group',
'mykrobe_species',
'mykrobe_lineage',
'drprg_susceptibility',
'pbptyper_pbptype',
'serotypefinder_Serotype_O',
'serotypefinder_Serotype_H',
'shigatyper_prediction',
'shigatyper_hit']

set_columns = []
for new_column in final_columns :
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