Published June 12, 2023
| Version v1
Dataset
Open
Data for: Regularized sequence-context mutational trees capture variation in mutation rates across the human genome
Creators
- 1. University of Pennsylvania
Description
Additional data on output models from Bayer as reported in:
Regularized sequence-context mutational trees capture variation in mutation rates across the human genome
Adams CJ, Conery M, Auerbach BJ, Jensen ST, Mathieson I, Voight BF. BioRxiv https://doi.org/10.1101/2022.10.14.512160
Accepted, PLoS Genetics.
Code Available at: https://github.com/bvoightlab/Baymer
Files
Files
(16.1 GB)
| Name | Size | Download all |
|---|---|---|
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md5:a4052b0c0e543f6b3447b7f9462b06f7
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515.1 MB | Download |
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md5:43417e6f5aa4538d21e20bbbe656c2bb
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15.6 GB | Download |
Additional details
Related works
- Is supplemented by
- Preprint: 10.1101/2022.10.14.512160 (DOI)
Funding
- National Institutes of Health
- Algorithms to identify non-coding mutational burden and disease-relevant pathways 1R01DK101478-01
- National Institutes of Health
- Functional Interrogation of T2D-associated genes in human stem cell-derived models and mice 1UM1DK126194-01