A Curated ChIP-Seq Dataset of MDI-induced Differentiated Adipocytes (3T3-L1)
In this documnet, we introduce the purpose of curatedAdipoChIP package,
its contents and its potential use cases. This package is a curated dataset of
ChIP-Seq samples. The samples are MDI-induced pre-adipocytes (3T3-L1) at
different time points/stage of differentiation. The ChIP-antibodies used in
this dataset are of transcription factors, chromatin remodelers and histone
modifications. The package document the data collection, pre-processing and
processing. In addition to the documentation the package contains the scripts
that were used to generated the data in inst/scripts and the final
RangedSummarizedExperiment object in can be accessed through the
ExperimentHub.
curatedAdipoChIP?It is an R package for documenting and distributing a curated dataset. The package doesn't contain any R functions.
curatedAdipoChIP?The package contains two different things:
inst/scripts
RangedSummarizedExperiment object in through the
ExperimentHub.curatedAdipoChIP for?The RangedSummarizedExperiment object contains the peak_counts, colData,
rowRanges and metadata which can be used for the purposes of conducting
differential peak binding or gene set enrichment analysis on the cell line
model.
The package can be installed using BiocManager.
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("curatedAdipoChIP")
The pre-processing and processing of the data setup environment is available as
a docker image. This image is also suitable for reproducing this document.
The docker image can be obtained using the docker CLI client.
$ docker pull bcmslab/adiporeg_chip:latest
curatedAdipoChIP
For citing the package use:
# citing the package
citation("curatedAdipoChIP")