Learn R Programming

ggpicrust2 (version 2.3.2)

pathway_annotation: Pathway information annotation

Description

This function serves two main purposes: 1. Annotating pathway information from PICRUSt2 output files. 2. Annotating pathway information from the output of `pathway_daa` function, and converting KO abundance to KEGG pathway abundance when `ko_to_kegg` is set to TRUE.

Usage

pathway_annotation(
  file = NULL,
  pathway = NULL,
  daa_results_df = NULL,
  ko_to_kegg = FALSE,
  organism = NULL
)

Value

A data frame with annotated pathway information. If using the function for the first use case, the output data frame will include the following columns:

  • id: The pathway ID.

  • description: The description of the pathway.

  • sample1, sample2, ...: Abundance values for each sample.

If ko_to_kegg is set to TRUE, the output data frame will also include the following columns:

  • pathway_name: The name of the KEGG pathway.

  • pathway_description: The description of the KEGG pathway.

  • pathway_class: The class of the KEGG pathway.

  • pathway_map: The KEGG pathway map ID.

When ko_to_kegg is TRUE, the function queries the KEGG database for pathway information. By default (organism = NULL), it retrieves generic KO information that is not specific to any organism. If you are interested in organism-specific pathway information, you can specify the KEGG organism code using the organism parameter.

Arguments

file

A character string, the path to the PICRUSt2 output file.

pathway

A character string, the type of pathway to annotate. Options are "KO", "EC", or "MetaCyc".

daa_results_df

A data frame, the output from `pathway_daa` function.

ko_to_kegg

A logical, decide if convert KO abundance to KEGG pathway abundance. Default is FALSE. Set to TRUE when using the function for the second use case.

organism

A character string specifying the KEGG organism code (e.g., 'hsa' for human, 'eco' for E. coli). Default is NULL, which retrieves generic KO information not specific to any organism. Only used when ko_to_kegg is TRUE.

Examples

Run this code
if (FALSE) {
# Example 1: Annotate pathways from PICRUSt2 output file
pathway_annotation(file = "path/to/picrust2_output.tsv",
                              pathway = "KO")
}

if (FALSE) {
# Example 2: Annotate pathways from pathway_daa output
# Assuming you have daa_results from pathway_daa function
daa_results <- pathway_daa(abundance, metadata, group = "Group")
annotated_results <- pathway_annotation(pathway = "KO",
                              daa_results_df = daa_results,
                              ko_to_kegg = FALSE)
}

Run the code above in your browser using DataLab