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docs:bio: add manhattanplot documentation
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doc/python/bio-manhattanplot.md

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---
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jupyter:
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celltoolbar: Tags
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jupytext:
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notebook_metadata_filter: all
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text_representation:
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extension: .md
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format_name: markdown
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format_version: '1.3'
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jupytext_version: 1.13.0
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kernelspec:
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display_name: Python 3 (ipykernel)
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language: python
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name: python3
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language_info:
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codemirror_mode:
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name: ipython
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version: 3
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file_extension: .py
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mimetype: text/x-python
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name: python
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nbconvert_exporter: python
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pygments_lexer: ipython3
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version: 3.9.7
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plotly:
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display_as: bio
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language: python
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layout: base
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name: Volcano plot
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order: 1
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page_type: u-guide
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permalink: python/volcano-plot/
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thumbnail: thumbnail/volcano-plot.png
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---
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## Manhattan Plot
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An example of a default ManhattanPlot component without any extra properties.
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```python
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import pandas as pd
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import dash_bio as dashbio
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df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/manhattan_data.csv')
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dashbio.ManhattanPlot(
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dataframe=df,
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)
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```
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## Highlighted points color, and colors of the suggestive line and the genome-wide line.
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Change the color of the points that are considered significant.
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```python
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import pandas as pd
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import dash_bio as dashbio
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df = pd.read_csv('https://raw.githubusercontent.com/plotly/dash-bio-docs-files/master/manhattan_data.csv')
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dashbio.ManhattanPlot(
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dataframe=df,
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highlight_color='#00FFAA',
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suggestiveline_color='#AA00AA',
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genomewideline_color='#AA5500'
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)
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```
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## ManhattanPlot with Dash
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```python no_display=true
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from IPython.display import IFrame
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snippet_url = 'https://dash-gallery.plotly.host/python-docs-dash-snippets/'
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IFrame(snippet_url + 'bio-manhattanplot', width='100%', height=630)
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```

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