===== Usage ===== To use MetaNetMap in a project:: import metanetmap Command-line usage ------------------ Based on the input listed in ::doc:`inp_out_mapping`, ``metanetmap`` can be run with two main modes: 1. **Database building mode**: to create a third-party conversion datatable from MetaCyc or MetaNetX data. 2. **Mapping mode**: to map metabolomic data against metabolic networks using the conversion datatable. The mapping mode can be run in two different ways: - classic mode: one or multiple metabolomic data files against a single metabolic network. - community mode: one or multiple metabolomic data files against multiple metabolic networks. Additionally, the **Test mode** runs predefined tests using toy data included in the package. .. note:: Before running the different modes, you must first build your own **conversion datatable**, as described below in the section *Custom third party database*. Custom third party database --------------------------- Non-trivial mapping between metabolomic data and metabolic networks requires a comprehensive knowledge base that links various identifiers from both sources. This is achieved through a third-party conversion datatable that acts as a bridge between the two datasets. It can currently be built using two different knowledge bases: 1. **Using MetaCyc files** (not provided with this package). You need a license to use MetaCyc data; here we use the information stored in the ``compounds.dat`` (or ``compounds_version.dat``) file — in order to build this conversion datatable. 2. **Using MetaNetX reference files**, which can be downloaded from `MetaNetX Reference Data `_ You can also provide your **own custom conversion data table**, as long as it follows the required column naming convention. This ensures that the **mapping mode** runs correctly. See the :doc:`usage_advanced` for more details. .. note:: The list and description of the required column names are available in the :doc:`inp_out_build` section. - **Running database building mode for MetaCyc**: .. code-block:: bash metanetmap build_db --db metacyc -f file/path/to/compounds.dat --compfiles file/path/to/complementary_datatable.tsv # Optional --out_db file/path/to/output_conversion_datatable.tsv # Optional -q quiet_mode (True/False) # Optional: False by default - **Running database building mode for MetaNetX**: .. code-block:: bash metanetmap build_db --db metanetx -f file/path/to/MetaNetX_chem_prop.tsv file/path/to/MetaNetX_chem_xref.tsv # Optional --compfiles file/path/to/complementary_datatable.tsv # Optional --out_db file/path/to/output_conversion_datatable.tsv # Optional -q quiet_mode (True/False) # Optional: False by default .. note:: The parameters ``file/path/to/output_conversion_datatable.tsv`` and ``file/path/to/complementary_datatable.tsv`` are optional. - If the output argument **--out_db** is not provided, the output file ``file/path/to/output_conversion_datatable.tsv`` will be created by default in the current working directory. - If the argument **--compfiles** is not provided, the step for completing the conversion datatable with the user's additional mapping data ``file/path/to/complementary_datatable.tsv`` will be skipped. For the ``metanetx`` option, the ``-f`` argument specifies the input files. If not provided by the user, the default ``chem_prop`` and ``chem_xref`` files will be downloaded automatically. The file ``file/path/to/complementary_datatable.tsv`` can also be a manually curated file created by users to include specific or custom IDs. Depending on the selected knowledge base (``metanetx`` or ``metacyc``), the output file name will include the database as a prefix. For more details on input/output data and directory structure, see :doc:`inp_out_build` Mapping mode ------------- Once a conversion data table is built, you can run MetaNetMap in two different sub-modes with a partial match option : - **Classic mode**: The classic mode allows you to input a single metabolomic annotation profile (tabulated file, `.maf` or `.tsv`) or a directory containing multiple metabolomic annotation profiles, and a unique metabolic network (`.sbml` or `.xml`) to which metabolites will be mapped. .. code-block:: bash metanetmap classic -s path/to/metabolic_networks.sbml # Single SBML file -a path/to/metabolomic_data/ # Single file or directory -d path/to/conversion_datatable.tsv -o path/to/output/directory/ # Optional -p partial_match(True/False) # Optional explanation below: False by default -q quiet_mode (True/False) # Optional: False by default - **Community mode**: The **"community"** mode allows you to input a directory containing multiple metabolomic annotation profiles (tabulated files, `.maf` or `.tsv`), as well as a directory containing multiple metabolic networks (`.sbml` or `.xml`). It will map each metabolomic data file against each metabolic network file, resulting in a comprehensive mapping across all combinations. This mode is useful for large-scale analyses involving a microbial community where multiple organisms and their associated networks are considered in the metabolomic study. .. code-block:: bash metanetmap community -s path/to/metabolic_networks_directory/ # Directory containing multiple SBML files -a path/to/metabolomic_data/ # Single file or directory -d path/to/conversion_datatable.tsv -o path/to/output/directory/ # Optional -p partial_match(True/False) # Optional, explanation below: False by default -q quiet_mode (True/False) # Optional: False by default .. note:: The **partial match** option aims at increasing the chances of finding a match for metabolites that were not mapped during the initial run. This step is optional, as it can be time-consuming depending on the number of unmatched entries. To rescue those unmatched entries, specific strategies are applied, such as searching via ChEBI, InChIKey, or enantiomer simplification. For more details on input/output data and directory structure, see :doc:`inp_out_mapping`, for more details on advanced methods (partial match, ambiguities, ...), see :doc:`usage_advanced`.