Supporting data for GYP_2022

This dataset contains raw and processed data for "Assessing Markovian and delay models for single-nucleus RNA sequencing".

• allen_delay_loom.tar.gz: Spliced/unspliced RNA count data obtained by pseudoaligning mouse brain datasets B02 and A02 from the Allen Institute for Brain Science, stored in loom files.
• liver_c72_delay_loom.tar.gz: Spliced/unspliced RNA count data obtained by pseudoaligning single-cell and single-nucleus human liver datasets (donor C72) from Toronto’s University Health Network, stored in loom files.
• search_data_objects.tar.gz: outputs of the Monod pipeline, including search data and results. 
• smc_fits.tar.gz.*: search results, compressed and split by tar czvf - smc_fits/ | split --bytes=500MB - smc_fits.tar.gz. This directory contains raw (full PyMC3 objects) as well as filtered (extracted traces and likelihoods) search result objects.
• gyp_2022-zenodo.zip: mirror of the GitHub repo.