Data for: Regularized sequence-context mutational trees capture variation in mutation rates across the human genome
收藏NIAID Data Ecosystem2026-05-01 收录
下载链接：
https://zenodo.org/record/7843022
下载链接
链接失效反馈官方服务：
资源简介：
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
拜耳（Bayer）产出模型的补充数据，源自下述文献：
《经正则化的序列-上下文突变树可捕捉人类基因组内突变率的异质性》
Adams CJ、Conery M、Auerbach BJ、Jensen ST、Mathieson I、Voight BF
预印本发布于BioRxiv，DOI：https://doi.org/10.1101/2022.10.14.512160
已被《PLoS遗传学》（PLoS Genetics）正式录用
相关代码公开获取地址：https://github.com/bvoightlab/Baymer
创建时间：
2023-06-13
