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Fix bio images #3434

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Merged
merged 2 commits into from
Oct 22, 2021
Merged

Fix bio images #3434

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4c7b3dd
update thumbnail link
HammadTheOne Oct 22, 2021
e6eee47
Added manhattan-plot image
HammadTheOne Oct 22, 2021
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4 changes: 2 additions & 2 deletions doc/python/bio-alignment-chart.md
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Expand Up @@ -29,10 +29,10 @@ jupyter:
order: 1
page_type: u-guide
permalink: python/alignment-chart/
thumbnail: thumbnail/alignment-chart.png
thumbnail: thumbnail/alignment_chart.png
---

## Alignment Viewer (link to dash alignment section below)
## Alignment Viewer

The Alignment Viewer (MSA) component is used to align multiple genomic or proteomic sequences from a FASTA or Clustal file. Among its extensive set of features, the multiple sequence alignment viewer can display multiple subplots showing gap and conservation info, alongside industry standard colorscale support and consensus sequence. No matter what size your alignment is, Alignment Viewer is able to display your genes or proteins snappily thanks to the underlying WebGL architecture powering the component. You can quickly scroll through your long sequence with a slider or a heatmap overview.

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4 changes: 2 additions & 2 deletions doc/python/bio-manhattanplot.md
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Expand Up @@ -29,8 +29,8 @@ jupyter:
name: Manhattan Plot
order: 1
page_type: u-guide
permalink: python/manhattan-plot/
thumbnail: thumbnail/manhttan-plot.png
permalink: python/manhattan-plot/
thumbnail: thumbnail/manhattan_plot.png
---

## Manhattan Plot
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4 changes: 2 additions & 2 deletions doc/python/bio-volcano-plot.md
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Expand Up @@ -30,15 +30,15 @@ jupyter:
order: 1
page_type: u-guide
permalink: python/volcano-plot/
thumbnail: thumbnail/volcano-plot.png
thumbnail: thumbnail/volcano_plot.png
---

## VolcanoPlot
Volcano Plot interactively identifies clinically meaningful markers in genomic experiments, i.e., markers that are statistically significant and have an effect size greater than some threshold. Specifically, volcano plots depict the negative log-base-10 p-values plotted against their effect size.

```python
import pandas as pd
import dash_bio
import dash_bio


df = pd.read_csv(
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