Metadata Management

Metadata provides crucial sample information for microbiome analysis. Effective metadata management enables robust comparative analysis.

Metadata Management

Metadata provides key sample information for integrated microbiome analysis. MicrobiomeStat offers functions to update and synchronize metadata.

Update Metadata

The mStat_update_meta_data() function updates metadata from a file or dataframe:

mStat_update_meta_data(
  data.obj = obj,
  map.file = "new_meta.csv" 
)

It can handle CSVs, TSVs, etc.

Steps include:

• Load metadata file or dataframe

• Replace existing meta.dat

• Subset feature table by intersecting samples

• Return updated data object

This allows incorporating new metadata to enable more powerful integrated analyses.

Update Sample Names

The mStat_update_sample_name() function updates sample names across data components:

mStat_update_sample_name(
  data.obj = obj,
  new.name = c("s1", "s2", "s3")
)

It synchronizes sample names in meta.dat, feature.tab, and feature.agg.list.

Key steps:

• Check new names are valid

• Update meta.dat rownames

• Update feature.agg.list colnames

• Update feature.tab colnames

This maintains data consistency when updating sample identifiers.

Proper metadata management ensures high-quality integrated analyses. MicrobiomeStat empowers seamless metadata updates to enable robust microbiome discoveries.