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Table 1 Normalizing solely by library size outperformed edgeR normalization in true positive detection for simulated ChIP-Seq data

From: ChIPbinner: an R package for analyzing broad histone marks binned in uniform windows from ChIP-Seq or CUT&RUN/TAG data

Histone mark

Normalization

# of true downregulated bins

# of upregulated bins

Ratio of detected downregulated bins (library size/edgeR)

H3K36me2

Library size

8071

0

2.7

edgeR

3072

0

H3K4me1

Library size

6469

0

1.7

edgeR

3810

0

H3K27me3

Library size

4358

0

7.0

edgeR

621

0

H3K9me3

Library size

5689

0

5.5

edgeR

1027

0

  1. 50,000 10 kb-bins were randomly sampled for each histone mark. For both normalization methods, ROTS differential analysis was used to identify downregulated (FDR < 0.05 & logFC < 0) & upregulated (FDR < 0.05 & logFC > 0) bins