Mono27ac: A small ChIP-seq data set in which peaks can be found using...

In tdhock/PeakSegPipeline: Genome-Wide Peak Prediction Using Supervised Learning and Optimal Segmentation

Description

The data come from an H3K27ac ChIP-seq experiment which was aligned to the human reference genome (hg19), aligned read counts were used to produce the coverage data; looking at these data in a genome browser was used to produce the labels.

Usage

data("Mono27ac")

Format

A list of 2 data.tables: coverage has 4 columns (chrom, chromStart, chromEnd, count=number of aligned reads at each position on chrom:chromStart-chromEnd); labels has 4 columns (chrom, chromStart, chromEnd, annotation=label at chrom:chromStart-chromEnd).

Source

https://github.com/tdhock/feature-learning-benchmark, prob.dir= H3K27ac-H3K4me3_TDHAM_BP/samples/Mono1_H3K27ac/S001YW_NCMLS/problems/chr11:60000-580000

tdhock/PeakSegPipeline documentation built on March 3, 2020, 1:35 a.m.