
echoannot: Echoverse module: Functions for annotating genomic data
with annotations and epigenomic data.
This R package is part of the echoverse suite that supports echolocatoR: an automated genomic fine-mapping pipeline.
If you use echoannot, please cite:
Brian M Schilder, Jack Humphrey, Towfique Raj (2021). echolocatoR: an automated end-to-end statistical and functional genomic fine-mapping pipeline. Bioinformatics, btab658. https://doi.org/10.1093/bioinformatics/btab658
if(!require("BiocManager")) install.packages("BiocManager")
BiocManager::install("RajLabMSSM/echoannot")
library(echoannot)For more detailed information about each dataset, use ?:R library(echolocatoR) ?NOTT_2019.interactome # example dataset
Data from this publication contains results from cell type-specific (neurons, oligodendrocytes, astrocytes, microglia, & peripheral myeloid cells) epigenomic assays (H3K27ac, ATAC, H3K4me3) from human brain tissue.
For detailed metadata, see:
data("NOTT_2019.bigwig_metadata")Built-in datasets:
data("NOTT_2019.interactome")
# Examples of the data nested in "NOTT_2019.interactome" object:
NOTT_2019.interactome$`Neuronal promoters`
NOTT_2019.interactome$`Neuronal enhancers`
NOTT_2019.interactome$`Microglia promoters`
NOTT_2019.interactome$`Microglia enhancers`
...
...
NOTT_2019.interactome$H3K4me3_around_TSS_annotated_pe
NOTT_2019.interactome$`Microglia interactome`
NOTT_2019.interactome$`Neuronal interactome`
NOTT_2019.interactome$`Oligo interactome`
...
...API access to full bigWig files on UCSC Genome Browser, which includes
Data from this preprint contains results from bulk and single-cell chromatin accessibility epigenomic assays in 39 human brains.