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Published June 12, 2022 | Version v1
Dataset Open

Monod supporting data

  • 1. Caltech

Contributors

Researcher:

  • 1. Caltech

Description

The release of the Monod package (https://github.com/pachterlab/monod) is accompanied by the analysis of several 10X datasets to identify trends in transcriptional regulation mechanisms and parameters. This data deposit contains the copy-number data as well as the results of the Monod inference pipeline.

allen_celltypes.tar.gz: raw loom files generated by splitting four Allen brain datasets according to GABAergic and glutamatergic cell type-specific barcodes.

gg_220526_021_modelcomp_1.tar.gz: search results and figures from fitting four models to five 10X datasets.

gg_220527_021_allen_celltypes_1.tar.gz: search results and figures from fitting four models to the eight Allen brain datasets.

Files

Files (4.1 GB)

Name Size Download all
md5:6ae7ee201d7166eeeac7b6a3ad3de71b
515.6 MB Download
md5:c412fd7aa5307f3c8b9c5ae51710038e
1.8 GB Download
md5:9fc87de603e4bac82fe828095f4387b8
1.8 GB Download

Additional details

Related works

Continues
Dataset: 10.22002/D1.2017 (DOI)
Dataset: 10.22002/D1.2018 (DOI)
References
Preprint: 10.1101/2021.07.30.454514 (DOI)