Meta2Data: Automated data processing for large scale microbiome data re-analysis.

Meta2Data is a modular Python/Bash pipeline that automates retrieval, standardization, and processing of public microbiome sequencing data into integrated feature tables, taxonomies, and phylogenetic trees.

• Why it matters: Reanalyzing large microbiome datasets is slowed by inconsistent metadata and nonstandard processing steps across studies and repositories.
• What they did: The pipeline pulls metadata from INSDC and CNCB using keywords or BioProject/BioSample identifiers, standardizes terms via a synonym dictionary with manual curation, then downloads raw reads and processes them with DADA2 or VSEARCH workflows.
• The result: It outputs integrated feature tables, taxonomic assignments, and phylogenetic trees for downstream community analyses, supporting both single- and multiple-target-region datasets.

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