TaxonoPy
(taxon-o-py) is a command-line tool for creating an internally consistent taxonomic hierarchy using the Global Names Verifier (gnverifier). See below for the structure of inputs and outputs.
The motivation for this package is to create an internally consistent and standardized classification set for organisms in a large biodiversity dataset composed from different data providers that may use very similar and overlapping but not identical taxonomic hierarchies.
Its development has been driven by its application in the TreeOfLife-200M (TOL) dataset. This dataset contains over 200 million samples of organisms from four core data providers:
- The Global Biodiversity Information Facility (GBIF)
- BIOSCAN-5M
- FathomNet
- The Encyclopedia of Life (EOL)
The names (and classification) of taxa may be (and often are) inconsistent across these resources. This package addresses this problem by creating an internally consistent classification set for such taxa.
A directory containing Parquet partitions of the seven-rank Linnaean taxonomic metadata for organisms in the dataset. Labels should include:
uuid
: a unique identifier for each sample (required).kingdom
,phylum
,class
,order
,family
,genus
,species
: the taxonomic ranks of the organism (required, may have sparsity).scientific_name
: the scientific name of the organism, to the most specific rank available (optional).common_name
: the common (i.e. vernacular) name of the organism (optional).
See the example data in
examples/input/sample.parquet
examples/resolved/sample.resolved.parquet
(generated withtaxonopy resolve
)examples/resolved_with_common_names/sample.resolved.parquet
(generated withtaxonopy common-names
)
This taxonomy information is provided by each data provider and the original sources, but the classification can be...
- Inconsistent: both between and within sources (e.g. kingdom Metazoa vs. Animalia).
- Incomplete: many samples are missing one or more ranks. Some have 'holes' where higher and lower ranks are present, but intermediate ranks are missing.
- Incorrect: some samples have incorrect classifications. This can come in the form of spelling errors, nonstandard ideosyncratic terms, or outdated classifications.
- Ambiguous: homonyms, synonyms, and other terms that can be interpreted in multiple ways unless handled systematically.
Taxonomic authorities exist to standardize classification, but ...
- There are many authorities.
- They may disagree.
- A given organism may be missing from some.
TaxonoPy
uses the taxonomic hierarchies provided by the TOL core data providers to query GNVerifier and create a standardized classification for each sample in the TOL dataset. It prioritizes the GBIF Backbone Taxonomy, since this represents the largest part of the TOL dataset. Where GBIF misses, backup sources such as the Catalogue of Life and Open Tree of Life (OTOL) Reference Taxonomy are used.
TaxonoPy
can be installed with pip
after setting up a virtual environment.
To install the latest version of TaxonoPy
, run:
pip install taxonopy
You may view the help for the command line interface by running:
taxonopy --help
This will show you the available commands and options:
usage: taxonopy [-h] [--cache-dir CACHE_DIR] [--show-cache-path] [--cache-stats] [--clear-cache] [--show-config] [--version] {resolve,trace,common-names} ...
TaxonoPy: Resolve taxonomic names using GNVerifier and trace data provenance.
positional arguments:
{resolve,trace,common-names}
resolve Run the taxonomic resolution workflow
trace Trace data provenance of TaxonoPy objects
common-names Merge vernacular names (post-process) into resolved outputs
options:
-h, --help show this help message and exit
--cache-dir CACHE_DIR
Directory for TaxonoPy cache (can also be set with TAXONOPY_CACHE_DIR environment variable) (default: None)
--show-cache-path Display the current cache directory path and exit (default: False)
--cache-stats Display statistics about the cache and exit (default: False)
--clear-cache Clear the TaxonoPy object cache. May be used in isolation. (default: False)
--show-config Show current configuration and exit (default: False)
--version Show version number and exit
The resolve
command is used to perform taxonomic resolution on a dataset. It takes a directory of Parquet partitions as input and outputs a directory of resolved Parquet partitions.
usage: taxonopy resolve [-h] -i INPUT -o OUTPUT_DIR [--output-format {csv,parquet}] [--log-level {DEBUG,INFO,WARNING,ERROR,CRITICAL}] [--log-file LOG_FILE] [--force-input] [--batch-size BATCH_SIZE] [--all-matches]
[--capitalize] [--fuzzy-uninomial] [--fuzzy-relaxed] [--species-group] [--refresh-cache]
options:
-h, --help show this help message and exit
-i, --input INPUT Path to input Parquet or CSV file/directory
-o, --output-dir OUTPUT_DIR
Directory to save resolved and unsolved output files
--output-format {csv,parquet}
Output file format
--log-level {DEBUG,INFO,WARNING,ERROR,CRITICAL}
Set logging level
--log-file LOG_FILE Optional file to write logs to
--force-input Force use of input metadata without resolution
GNVerifier Settings:
--batch-size BATCH_SIZE
Max number of name queries per GNVerifier API/subprocess call
--all-matches Return all matches instead of just the best one
--capitalize Capitalize the first letter of each name
--fuzzy-uninomial Enable fuzzy matching for uninomial names
--fuzzy-relaxed Relax fuzzy matching criteria
--species-group Enable group species matching
Cache Management:
--refresh-cache Force refresh of cached objects (input parsing, grouping) before running.
It is recommended to keep GNVerifier settings at their defaults.
The trace
command is used to trace the provenance of a taxonomic entry. It takes a UUID and an input path as arguments and outputs the full path of the entry through TaxonoPy.
usage: taxonopy trace [-h] {entry} ...
positional arguments:
{entry}
entry Trace an individual taxonomic entry by UUID
options:
-h, --help show this help message and exit
usage: taxonopy trace entry [-h] --uuid UUID --from-input FROM_INPUT [--format {json,text}] [--verbose]
options:
-h, --help show this help message and exit
--uuid UUID UUID of the taxonomic entry
--from-input FROM_INPUT
Path to the original input dataset
--format {json,text} Output format
--verbose Show full details including all UUIDs in group
The common-names
command is used to merge vernacular names into the resolved output. It takes a directory of resolved Parquet partitions as input and outputs a directory of resolved Parquet partitions with common names.
usage: taxonopy common-names [-h] --resolved-dir ANNOTATION_DIR --output-dir OUTPUT_DIR
options:
-h, --help show this help message and exit
--resolved-dir ANNOTATION_DIR
Directory containing your *.resolved.parquet files
--output-dir OUTPUT_DIR
Directory to write annotated .parquet files
Note that the common-names
command is a post-processing step and should be run after the resolve
command.
To perform taxonomic resolution on a dataset with subsequent common name annotation, run:
taxonopy resolve \
--input /path/to/formatted/input \
--output-dir /path/to/resolved/output
taxonopy common-names \
--resolved-dir /path/to/resolved/output \
--output-dir /path/to/resolved_with_common-names/output
TaxonoPy creates a cache of the objects associated with input entries for use with the trace
command. By default, this cache is stored in the ~/.cache/taxonopy
directory.
See the Wiki Development Page for development instructions.