proxbias
Code to support the publication "High-resolution genome-wide mapping of chromosome-arm-scale truncations induced by CRISPR-Cas9 editing". The preprint is on bioRxiv here
Installation
This package is installable via Nexus.
pip install proxbiasNotebooks
Notebooks to reproduce plots from public datasets are included in the notebooks directory. Note that this doesn't include rxrx3 for IP reasons at this time.
cpg0016_loading.ipynb- Load the JUMP CP data, apply PCA and proximity bias correction and save data locally.cpg0016_plots.ipynb- Create whole-genome plots from cpg0016, calculate Brunner-Munzel statistics and make bar plots.shinyDepMap_benchmark.ipynb- Load DepMap 19Q3 data and create plots showing an enrichment for within-chromosome arm relationships.DepMap_PB_Driver_Scan_sample.ipynb- Short sample code for executing the DepMap driver scanning.DepMap_PB_driver_figures.ipynb- Use DepMap 22Q4 data to look at differential proximity bias when TP53 and other genes are wild-type vs loss/gain of function.DepMap_CNV_analysis- Look at copy number effects in DepMap data and separate out proximity-bias driven signal.DepMap_version_comparisons.ipynb- Generate whole-genome plots and Brunner-Munzel probability plots for DepMap 19Q3, 22Q4 and 23Q2 data.scPerturb_tables_heatmaps.ipynb- Load scRNASeq datasets from scPerturb, run infercnv, compute chromosomal loss, generate result tables, and plot infercnv heatmaps for cells with specific loss.