Published June 12, 2023 | Version v1
Dataset Open

Data for: Regularized sequence-context mutational trees capture variation in mutation rates across the human genome

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

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md5:a4052b0c0e543f6b3447b7f9462b06f7
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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