pykegg
Analyze and visualize KEGG information using network approach.
Using biopython, igraph and plotnine, parse the KGML into igraph and easily plot the relevant information contained in KEGG Pathway in Python environment.
import requests_cache
import numpy as np
from PIL import Image
import pykegg
import matplotlib as mpl
## Be sure to cache all the downloaded files to avoid recursive querying
requests_cache.install_cache('pykegg_cache')
g = pykegg.KGML_graph(pid="hsa03460")
## Export as igraph
gra = g.get_graph()
print(gra)
## Overlay to raw image
nds = g.get_nodes()
nds = nds[nds.original_type=="gene"]
nds["lfc"] = np.arange(-2,2,0.01)[0:nds.shape[0]]
cmap_grad = mpl.colors.LinearSegmentedColormap.from_list("cmap_grad", ["yellow","green"])
norm = mpl.colors.Normalize(vmin=min(nds.lfc), vmax=max(nds.lfc))
nds["color"] = [
mpl.colors.to_hex(cmap_grad(norm(x))) if x is not None else None
for x in nds.lfc
]
Image.fromarray(pykegg.overlay_opencv_image(nds, pid="hsa03460"))
Documentation
https://noriakis.github.io/pykegg-docs
TODO
- The function for converting identifiers (especially for ENTREZID <-> SYMBOL) without connection to servers, like using
genomic-features. - Parallel edge support by nudging x and y position
- Better error handling
1 maintainer
Metadata
1 maintainer
Release files for pykegg 0.1.7
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Source distribution (sdist)
| File | Size | Uploaded | |
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| pykegg-0.1.7.tar.gz | 12.5 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pykegg-0.1.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.6 kB
Release files / pykegg-0.1.7.tar.gz
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| Size | 12.5 kB |
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| Size | 12.1 kB |
| Tags | Python 3 |
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