.. This document is auto-generated by the gosling-gallery extension. Do not modify directly.

.. _gallery_multiscale_lollipop_plot:

Multiscale Lollipop Plot
========================

.. gosling-plot::
    :code-below:

    
    import gosling as gos
     
    clin_var_beddb = gos.beddb(
        url="https://server.gosling-lang.org/api/v1/tileset_info/?d=clinvar-beddb",
        genomicFields=[{"index": 1, "name": "start"}, {"index": 2, "name": "end"}],
        valueFields=[{"index": 7, "name": "significance", "type": "nominal"}],
    )

    categories = [
        "Benign", "Benign/Likely_benign", "Likely_benign", 
        "Uncertain_significance", "Likely_pathogenic", 
        "Pathogenic/Likely_pathogenic", "Pathogenic",
    ]

    colors = ["#5A9F8C", "#5A9F8C", "#029F73", "gray", "#CB96B3", "#CB71A3", "#CB3B8C"]

    clin_var_multivec = gos.multivec(
        url="https://server.gosling-lang.org/api/v1/tileset_info/?d=clinvar-multivec",
        row="significance",
        column="position",
        value="count",
        categories=categories,
        binSize=4,
    )


    lolipop = gos.overlay(
        (
            gos.Track(clin_var_beddb).mark_bar().encode(
                x="start:G",
                y=gos.Y("significance:N", domain=categories, range=[150, 20], baseline="Uncertain_significance"),
                size=gos.value(1),
                color=gos.value("lightgray"),
                stroke=gos.value("lightgray"),
                strokeWidth=gos.value(1),
                opacity=gos.value(0.3),
            ).visibility_lt(
                measure="zoomLevel",
                target="mark",
                threshold=100000,
                transitionPadding=100000,
            )
        ),
        (
            gos.Track(clin_var_beddb).mark_point().encode(
                x="start:G",
                color=gos.Color("significance:N", domain=categories, range=colors),
                row=gos.Row("significance:N", domain=categories),
                size=gos.value(7),
                opacity=gos.value(0.8),
            ).visibility_lt(
                measure="zoomLevel",
                target="mark",
                threshold=1000000,
                transitionPadding=1000000,
            )
        ),
        (
            gos.Track(clin_var_multivec).mark_bar().encode(
                x="start:G",
                xe="end:G",
                y=gos.Y("count:Q", axis="none"),
                color=gos.Color("significance:N", domain=categories, range=colors, legend=True)
            ).visibility_gt(
                measure="zoomLevel",
                target="mark",
                threshold=500000,
                transitionPadding=500000,
            )
        ),
        width=725,
        height=150,
        xDomain=gos.GenomicDomain(chromosome="chr13", interval=[31500000, 33150000]),
    )

    lolipop