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adding plotting AMRs (#9)
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* Update amr.md

* add script to plot amrfinder results

* plot_amrfinder

* Update amr.md

* Update amr.md

* Update docs/amr.md

Co-authored-by: C. Titus Brown <[email protected]>

---------

Co-authored-by: C. Titus Brown <[email protected]>
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AnneliektH and ctb authored Apr 29, 2024
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10 changes: 9 additions & 1 deletion docs/amr.md
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Expand Up @@ -16,7 +16,7 @@ of the metagenome.

First, install the software. Run:
```
mamba create -n amrfinder -y ncbi-amrfinderplus megahit prodigal csvtk
mamba create -n amrfinder -y ncbi-amrfinderplus megahit prodigal csvtk matplotlib seaborn pandas
conda activate amrfinder
```

Expand Down Expand Up @@ -102,3 +102,11 @@ reads to it to get the abundance. This is because assembly collapses
the abundance of the output contigs, and you have to recover it through
other means.


Now we can plot the abundances of the AMRs we found:
```
../scripts/plot_amr.py CD136.amrfinder.tsv -o CD136.amrfinder.pdf
```
![CD136 amrfinder](https://github.com/AnneliektH/2024-pig-paradigm-workshop/blob/main/docs/images/CD136.amrfinder.png)


Binary file added docs/images/CD136.amrfinder.png
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24 changes: 24 additions & 0 deletions scripts/plot_amr.py
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#! /usr/bin/env python
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import sys
import argparse


def main():
p = argparse.ArgumentParser()
p.add_argument('df')
p.add_argument('-o', '--output-figure', required=True)
args = p.parse_args()

df = pd.read_csv(args.df, sep = '\t')
df_all = df.Class.value_counts().to_frame().reset_index()
figure = sns.barplot(data=df_all, x="count", y="Class", hue="Class", legend=False)
figure.figure.set_size_inches(15,5)
figure.figure.savefig(args.output_figure)



if __name__ == '__main__':
sys.exit(main())

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