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use strings from @jminich444
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wasade committed Feb 23, 2022
1 parent af87eeb commit 6f6434b
Showing 1 changed file with 18 additions and 7 deletions.
25 changes: 18 additions & 7 deletions q2_katharoseq/plugin_setup.py
Original file line number Diff line number Diff line change
Expand Up @@ -78,27 +78,38 @@
'control_cell_extraction': MetadataColumn[Numeric],
'positive_control_column': MetadataColumn[Categorical],
'positive_control_value': Str,
'extraction_mass_g': MetadataColumn[Categorical],
'extraction_mass_g': MetadataColumn[Numeric],
'min_total_reads': Int,
'pcr_template_vol': Int,
'dna_extract_vol': Int},
outputs=[('estimated_biomass', EstimatedBiomass)],
input_descriptions={},
parameter_descriptions={
'total_reads': 'The total reads present in each sample.',
'control_cell_extraction': 'The number of cells in the controls.',
'total_reads': 'The total sum of the reads or ASVs for each sample.',
'control_cell_extraction': (
'The estimated number of cells or genomes used as input to your '
'library prep. One may typically estimate this by determining the '
'total number of cells from a stock solution used to make '
'standard titrations. Each titration will have an estimated '
'number of microbial cells put into the extraction. The final '
'estimate will depend on the elution volume and the final volume '
'used into the library prep (e.g. 16S PCR).'),
'positive_control_column': (
'The column in the sample metadata that describes which samples '
'are and are not controls.'),
'positive_control_value': (
'The value in the control column that demarks which samples are '
'the positive controls.'),
'extraction_mass_g': (
'The column in the sample metadata that describes the extraction '
'mass for the controls'),
'The column in the sample metadata that describes the sample '
'(e.g. stool, tissue, soil, etc) mass (in grams - typically '
'converted from mg)'),
'min_total_reads': 'The minimum threshold to apply.',
'pcr_template_vol': 'The PCR template volume.',
'dna_extract_vol': 'The DNA extraction volume.'},
'pcr_template_vol': (
'The volume of DNA used as template in the '
'library prep (PCR reaction)'),
'dna_extract_vol': (
'The final elution volume used during DNA extraction')},
output_descriptions={
'estimated_biomass': (
'A dataframe containing the details on estimated biomass')
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