Mercurial > repos > iuc > anndata_inspect
diff macros.xml @ 3:286a24ac079c draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/anndata/ commit dc9d19d1f902f3ed54009cd0e68c8518c284b856"
author | iuc |
---|---|
date | Mon, 06 Jan 2020 13:45:39 -0500 |
parents | 6a1a3dab235a |
children | 70f5f1fee692 |
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--- a/macros.xml Thu Dec 12 09:23:54 2019 -0500 +++ b/macros.xml Mon Jan 06 13:45:39 2020 -0500 @@ -15,13 +15,19 @@ </citations> </xml> <xml name="version_command"> - <version_command><![CDATA[python -c "import anndata as ad;print('anndata version: %s' % ad.__version__)"]]></version_command> + <version_command><![CDATA[python -c "import anndata as ad;print('anndata version: %s' % ad.__version__); import loompy;print('\nloompy version: %s' % loompy.__version__)"]]></version_command> </xml> <token name="@CMD@"><![CDATA[ cat '$script_file' && python '$script_file' ]]> </token> + <token name="@LOOMCMD@"><![CDATA[ +mkdir ./output && +mkdir ./attributes && +python '$__tool_directory__/loompy_to_tsv.py' -f '${hd5_format.input}' + ]]> + </token> <token name="@CMD_imports@"><![CDATA[ import anndata as ad ]]> @@ -33,15 +39,27 @@ AnnData stores a data matrix `X` together with annotations of observations `obs`, variables `var` and unstructured annotations `uns`. -.. image:: https://falexwolf.de/img/scanpy/anndata.svg +.. image:: https://falexwolf.de/img/scanpy/anndata.svg -AnnData stores observations (samples) of variables (features) in the rows of a matrix. This is the convention of the modern classics -of statistics (`Hastie et al., 2009 <https://web.stanford.edu/~hastie/ElemStatLearn/>`__) and machine learning (Murphy, 2012), the convention of dataframes both in R and Python and the established statistics +AnnData stores observations (samples) of variables (features) in the rows of a matrix. This is the convention of the modern classics +of statistics (`Hastie et al., 2009 <https://web.stanford.edu/~hastie/ElemStatLearn/>`__) and machine learning (Murphy, 2012), the convention of dataframes both in R and Python and the established statistics and machine learning packages in Python (statsmodels, scikit-learn). More details on the `AnnData documentation <https://anndata.readthedocs.io/en/latest/anndata.AnnData.html>`__ + + +**Loom data** + +Loom files are an efficient file format for very large omics datasets, consisting of a main matrix, optional additional layers, a variable number of row and column annotations, and sparse graph objects. + +.. image:: https://linnarssonlab.org/loompy/_images/Loom_components.png + + +Loom files to store single-cell gene expression data: the main matrix contains the actual expression values (one column per cell, one row per gene); row and column annotations contain metadata for genes +and cells, such as Name, Chromosome, Position (for genes), and Strain, Sex, Age (for cells). + ]]> </token> <xml name="params_chunk_X">