Tutorials#
Using Metadensity in Jupyter notebooks#
More data means more fun#
from here on, to reproduce the code in the notebooks, you need to download eCLIP data from the ENCODE project, create your dataloader and menifest!
Create customized features: intronic polyadenylation, miRNA hosting genes#
Comparing 2 groups of transcripts#
Loading precomputed data#
How to build the data needed for other species#
- This notebooks shows how you build the parsed data from all the files from the config files
- Step 1: choose the coordinates
- Step 2: check if basic file exists
- Step 3: read branchpoints files
- Step 4: read polyA files
- What Metadensity need is a dictionary pickled, saved in the data/ folder.
- Step 5: organize all features into a gene/transcript-based dictionary