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Hello,
I am trying to visualize my Micro-C data using HiGlass(v1.3.3) with Jupyter Lab. According to https://docs.higlass.io/data_preparation.html#gene-annotation-tracks, I generated a gene-annotations-${ASSEMBLY}.db for dm6 genome. However, I have no idea how to import it in python.
I found examples below, so I thought I should use specific function in higlass to read in it, like hg.cooler for .mcool files or hg.remote for remote tileset.
import higlass as hg
tileset_cooler = hg.cooler("./test.mcool")
mm10 = hg.remote(
uid="QDutvmyiSrec5nX4pA5WGQ",
server="//higlass.io/api/v1",
)
hg.view(
tileset_cooler.track("horizontal-heatmap", height=300),
mm10.track("gene-annotations", height=150).opts(minHeight = 24,)
)
So I test:
import higlass as hg
dm6 = hg.annotations("./gene-annotations-dm6.db")
And it failed with TypeError: '_Feature' object is not callable.
So are there any suggestions on how to load in the gene-annotations-${ASSEMBLY}.db file? Or I should generate gene-annotation track in other ways?
Thank you very much!
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