🗣 Wd提问: dash bio
🤖 Ai回答: Dash Bio is part of the Plotly Dash ecosystem, providing specialized components for bioinformatics and computational biology、Below is a comprehensive overview with examples and key features:
🔬 Core Components
Dash Bio includes 20+ interactive components for visualizing biological data:
1、Sequence Viewer
Display DNA/RNA/protein sequences with annotations、
python
dash_bio.SequenceViewer(
id='sequence-viewer',
sequence=ATGCGACTACGT,
showLineNumbers=True
)
2、Molecule 3D Viewer
Interactive 3D molecular structures (PDB files)、
python
dash_bio.Molecule3dViewer(
modelData={'atoms': [...], 'bonds': [...]},
styles=styles
)
3、Clustergram
Heatmap with hierarchical clustering、
python
dash_bio.Clustergram(
data=[[1, 2], [3, 4]],
row_labels=['GeneA', 'GeneB'],
col_labels=['Sample1', 'Sample2']
)
4、Needle Plot
Visualize genetic mutations、
python
dash_bio.NeedlePlot(
mutationData={'x': [1, 2], 'y': [0.5, -0.2]}
)
🚀 Key Features
Interactive: Zoom, pan, hover tooltips
High Performance: Handles large datasets
Integration: Works with Dash callbacks
Customization: Theming, annotations, event handlers
💻 Installation
bash
pip install dash dash-bio
📝 Example App
python
import dash
from dash import html
import dash_bio as dashbio
app = dash.Dash(__name__)
app.layout = html.Div([
dashbio.SequenceViewer(
id='my-sequence-viewer',
sequence=ATGCGATACGT,
height=200,
showLineNumbers=True,
wrapLength=50
)
])
if __name__ == '__main__':
app.run_server(debug=True)
📊 Supported Data Formats
Molecules: PDB, SDF, MOL2
Genomics: FASTA, BED, VCF
Omics: Matrices for heatmaps
Annotations: GFF, BED
🔗 Resources
1、[Official Documentation](https://dash.plotly.com/dash-bio)
2、[Component Gallery](https://dash.plotly.com/dash-bio)
3、[GitHub Repository](https://github.com/plotly/dash-bio)
🧪 Use Cases
Genomics: Variant analysis, sequence alignment
Drug Discovery: Molecular docking visualization
Transcriptomics: Gene expression heatmaps
Structural Biology: Protein structure exploration
⚙️ Advanced Tip
Combine with Dash callbacks for dynamic updates:
python
@app.callback(
Output('molecule-viewer', 'modelData'),
Input('pdb-dropdown', 'value')
)
def update_molecule(pdb_id):
data = fetch_pdb(pdb_id) Fetch from API
return data
Dash Bio accelerates bioinformatics dashboard development by providing domain-specific components out-of-the-box、For complex workflows, pair it with Python libraries like Biopython or scikit-bio.
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IP地址: 168.74.125.149
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提问时间: 2025-09-09 09:03:56
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