view macros.xml @ 0:199de6887566 draft default tip

planemo upload for repository https://github.com/BMCV/galaxy-image-analysis/tree/master/tools/highdicom/ commit 3a064f9bbb0eb56d752df40eb467b74da31711ce

<macros>
    <token name="@TOOL_VERSION@">0.27.0</token>
    <token name="@VERSION_SUFFIX@">0</token>
    <xml name="description">
        <description>with highdicom</description>
    </xml>
    <xml name="xrefs">
        <xrefs>
            <xref type="bio.tools">galaxy_image_analysis</xref>
            <xref type="bio.tools">highdicom</xref>
        </xrefs>
    </xml>
    <xml name="requirements">
        <requirements>
            <requirement type="package" version="@TOOL_VERSION@">highdicom</requirement>
            <requirement type="package" version="3.0.1">pydicom</requirement>
            <requirement type="package" version="0.5.2">giatools</requirement>
            <requirement type="package" version="6.0.3">pyyaml</requirement>
        </requirements>
    </xml>
    <token name="@DICOM_INTRO@">
        DICOM is a widely established file format in medical imaging. A DICOM dataset contains rich metadata (patient, study
        info) and the actual medical image pixel or voxel data. The image data can be single-channel or multi-channel, and it
        can also be organized in multiple frames (e.g., spatial tiles of a mosaic, spatial slices, or time steps).
    </token>
    <xml name="citations">
        <citations>
            <citation type="doi">10.1007/s10278-022-00683-y</citation>
            <citation type="doi">10.5281/zenodo.13824606</citation>
        </citations>
    </xml>
</macros>