Published December 31, 2022 | Version v1.0

Simultaneous profiling of histone modifications and DNA methylation via nanopore sequencing

  • 1. Tongji University

Description

Datasets that contain a minimum of nanopore reads sufficient for hidden Markov model training and for evaluating the performance of our computational tool - nanoHiMe at simultaneously calling CpG and/or adenine methylation on individual nanopore reads. Ecoli_PCR_amplicons_100k.tgz, Ecoli_PCR_MSssI_100k.tar.gz and Ecoli_PCR_pA-Hia5_100k.tar.gz are used for training new parameters of the emission distributions of individual k-mers from DNA template without modification, with fully methylated CpGs, and with partially methylated adenines, respectively. nanoHiMe_H3K27me3.fast5.tgz are the nanopore sequencing reads from H3K27me3 nanoHiMe-seq experiments in GM12878 cells and used for evaluating the performance of nanoHiMe at jointly calling CpG and adenine methylation.

Notes

link to: https://github.com/YinLabTJ/nanoHiMe

Files

Files (44.7 GB)

Name Size
md5:d696a58c9e94605fa56288394ddc842d
5.9 GB Download
md5:20a767d6449c027e5656059d621f47e8
6.7 GB Download
md5:78dc2fe83868912fd9d1647371e8271a
4.6 GB Download
md5:39ead156012383169fa92337b88f45ff
27.5 GB Download