# Configuration file for microbetag preprocessing
# __version__ : v1.0.1

# I/O 
abundance_table_file: 
  path: seq_ab_tab.tsv
  description: Path to abundance table file. Attention! The path needs to be within the folder that you mount to the Docker container.
  type: Path

metadata_file: 
  path: metadata_transpose.tsv
  description: Path to metadata file. Metadata describe the abundance table and is going to be used for building the cooccurrence network. For an example file see https://github.com/meringlab/FlashWeave.jl/tree/master/test/data/HMP_SRA_gut and also check http://tinyurl.com/35xxcnrm for further insight. Remember that each column stands for a trait and each row its corresponding value to each sample. 
  type: Path

output_directory:
  path: prep_output
  description: Folder name to be built within the mounted directory where the files to be used with microbetag will be exported.

# Tasks
16s_gtdb_taxonomy_assign:
  value: False
  description: Taxonomy assignment of the sequences using IDTAXA and the 16S sequences of the GTDB genomes.
  type: bool

build_network:
  value: True
  description: A co-occurrence network will be built using your abundance table, your metadata file (if provided) and FlashWeave. If selected, make sure you also set the FlashWeave arguments.
  type: bool

# FlashWeave arguments
flashweave_sensitive:
  value: True
  type: bool
  description: (From FlashWeave documentation) Enable fine-grained associations (FlashWeave-S, FlashWeaveHE-S), sensitive=false results in the fast modes FlashWeave-F or FlashWeaveHE-F 

flashweave_heterogeneous:
  value: False
  type: bool
  description: (From FlashWeave documentation) Enable heterogeneous mode for multi-habitat or -protocol data with at least thousands of samples (FlashWeaveHE)