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naming updates to match implemented workflow
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‎Metagenomics/Low_Biomass/Pipeline_GL-DPPD-7116_Versions/GL-DPPD-7116.md‎

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@@ -1800,7 +1800,10 @@ library(tidyr)
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- `assay_suffix` - a character string specifying the GeneLab assay suffix (default: "_GLlblMetag")
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**Output Data:**
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- {output_prefix}_decontam_{species|KO}_table_GLlblMetag.tsv - decontaminated feature table file
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- {output_prefix}_decontam_{species_table|table}_GLlblMetag.tsv - decontaminated feature table file, for
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taxonomy classification methods the filename
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includes the "species" keyword, other classification
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methods omit the "species" keyword
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- {output_prefix}_decontam_results_GLlblMetag.tsv - Decontam results file
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**Returns:** dataframe, `decontaminated_table`, containing the decontaminated feature table
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#### 26h. Contig-level Feature Filtering
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```R
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feature_table_file <- "Combined-contig-level-taxonomy_GLlblMetag.tsv"
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feature_table_file <- "Combined-contig-level-taxonomy_unfiltered_GLlblMetag.tsv"
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metadata_table <- "/path/to/sample/metadata"
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threshold <- 1000
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**Input Data:**
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- `Combined-contig-level-taxonomy_GLlblMetag.tsv`(aggregated contig taxonomy table with samples in columns and species in rows, from [Step 26g](#26g-contig-level-heatmaps))
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- `Combined-contig-level-taxonomy_unfiltered_GLlblMetag.tsv`(aggregated contig taxonomy table with samples in columns and species in rows, from [Step 26g](#26g-contig-level-heatmaps))
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- `/path/to/sample/metadata` (a file containing sample-wise metadata, mapping sample names to group metadata)
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**Output Data:**

‎Metagenomics/Low_Biomass/Pipeline_GL-DPPD-7117_Versions/GL-DPPD-7117.md‎

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@@ -1434,7 +1434,10 @@ library(tidyr)
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- `assay_suffix` - a character string specifying the GeneLab assay suffix (default: "_GLlbsMetag")
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**Output Data:**
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- {output_prefix}_decontam_{species|KO}_table_GLlbsMetag.tsv - decontaminated feature table file
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- {output_prefix}_decontam_{species_table|table}_GLlblMetag.tsv - decontaminated feature table file, for
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taxonomy classification methods the filename
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includes the "species" keyword, other classification
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methods omit the "species" keyword
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- {output_prefix}_decontam_results_GLlbsMetag.tsv - Decontam results file
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**Returns:** dataframe, `decontaminated_table`, containing the decontaminated feature table
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> Note: species_table and heatmaps are only generated if 1 or more contaminants were detected
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```R
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feature_table_file <- "Combined-gene-level-taxonomy_GLlbsMetag.tsv"
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feature_table_file <- "Combined-gene-level-taxonomy_unfiltered_GLlbsMetag.tsv"
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metadata_table <- "/path/to/sample/metadata"
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decontaminated_table <- feature_decontam(metadata_file = metadata_table,
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**Input Data:**
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- `Combined-gene-level-taxonomy_GLlbsMetag.tsv`(aggregated gene taxonomy table with samples in columns and species in rows, from [Step 21a](#21a-gene-level-taxonomy-heatmaps))
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- `Combined-gene-level-taxonomy_unfiltered_GLlbsMetag.tsv`(aggregated gene taxonomy table with samples in columns and species in rows, from [Step 21a](#21a-gene-level-taxonomy-heatmaps))
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- `/path/to/sample/metadata` (a file containing sample-wise metadata, mapping sample names to group metadata)
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**Output Data:**

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