Supplemental Material for Baker et al., 2018
datasetposted on 2018-12-28, 15:51 authored by Christopher L. Baker, Michael Walker, Seda Arat, Guruprasad Ananda, Pavlina Petkova, Natalie R. Powers, Hui Tian, Catrina Spruce, Bo Ji, Dylan Rausch, Kwangbom Choi, Petko M. Petkov, Gregory W. Carter, Kenneth Paigen
Table S1. Summary of sequencing libraries..
Table S2. Biparental peakome for male germ cells showing the genomic coordinates of each peak in both the reference (mm10) and DBA/2J assembly.
Table S3. Mapping results for each H3K4me3 interval in the peakome and annotations.
Table S4. Summary of WGCNA modules.
Table S5. Summary of cis/trans test for BXD75 and BXD87 in hepatocytes, cardiomyocytes, and mESCs.
Table S6. Transcription factor motifs enriched in module H3K4me3 peaks.Table S7. De novo genetic map for BXD strains.
Figure S1. De novo genotypes from ChIP-seq data correct inconsistency between genotype and H3K4me3 phenotypes.
Figure S2. Genotyping by ChIP-seq allows for hotspot level resolution for genetic mapping.
Figure S3. Pearson Correlations for all hepatocytes, cardiomyocytes, and ESCs.
Figure S4. The Chr 13 QTL is genetically compound.
Figure S5. Functional annotation of H3K4me3 peaks.
Figure S6. Hierarchical clustering based on H3K4me3 levels for all Parental, F1, and BXD lines.