mclink1.1.1 package

Metabolic Pathway Completeness and Abundance Calculation

add_rows_if_not_exists

Add Missing Rows to a Data Frame

ata_cal

Calculate Log2 Ratio of Sample Values to Row Means

convert_abundance_to_presence

Convert Abundance Values to Presence/Absence Indicators

create_sub_module_sample

Create and Export Pathway-Specific Module Sample Files

escape_special_chars

Escape Special Characters in a String

extract_inner_brackets

Extract Innermost Parentheses Content

group_ko_by_module

Group KO Abundance Data by Module

mclink

Metabolic Pathway Coverage Analysis

merge_module_name

Merge Module Information with Module Table

process_all_modules

Process All Modules in Pathway Information

process_all_pathways

Process All Pathways Analysis

process_module_brackets

Process Module Brackets Recursively

process_module_definition

Process Module Definition String

process_module_loop_comma

Process Module Components with Comma Handling

process_module_loop_plu_comma

Process Module Components with Plus and Comma Handling

process_module_loop_plus

Process Module Components with Plus Sign Handling

process_module_step

Process Module Steps with Complex KO String Handling

process_module_structure

Process Module Structure Data

process_step_comma

Process Comma-Separated KOs with Specified Scaling Method

process_step_direct

Direct KO Processing Without Special Handling

process_step_plus

Process Plus-Separated KOs with Specified Scaling Method

process_step_space

Process Space-Separated KOs with Mean Calculation

read_and_process_KO_table

Read and Process KO Sample Table with Pathway Information

read_and_process_pathway_infor

Read and process Pathway information dataframe

remove_outer_brackets

Remove Outer Parentheses from String

Provides tools for analyzing metabolic pathway completeness, abundance, and transcripts using KEGG Orthology (KO) data from (meta)genomic and (meta)transcriptomic studies. Supports both completeness (presence/absence) and abundance-weighted analyses. Includes built-in KEGG reference datasets. For more details see Li et al. (2023) <doi:10.1038/s41467-023-42193-7>.

  • Maintainer: Liuyang Li
  • License: GPL-3
  • Last published: 2025-10-26