A MusMus Dataset of Ob/ob and WT mice on different diets.
In this document, we introduce the purpose of ObMiTi
package,
its contents and its potential use cases. This package is a dataset of RNA-seq samples. The samples are of
6 ob/ob mice and 6 wild type mice divided further into High
fat diet and normal diet. From each mice 7 tissues has been analyzed. The duration of dieting was 20 weeks.
The package document the data collection, pre-processing and
processing. In addition to the documentation the package contains the scripts
that were used to generate the data in inst/scripts
and access to the final
RangedSummarizedExperiment
object through ExperimentHub
.
It is an R package for documenting and distributing a dataset. The package doesn't contain any R functions.
The package contains two different things:
- Scripts for documenting/reproducing the data in
inst/scripts
- Access to the final
RangedSummarizedExperiment
throughExperimentHub
.
The RangedSummarizedExperiment
object contains the counts
, colData
,
rowRanges
and metadata
which can be used for the purposes of
differential gene expression and get set enrichment analysis.
The ObMiTi
package can be installed from Bioconductor using
BiocManager
.
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ObMiTi")
In this section, we conduct a simple exploration of the data objects to show the content of the package and how they can be loaded and used.
# loading required libraries
library(ExperimentHub)
library(SummarizedExperiment)
library(dplyr)
# query package resources on ExperimentHub
eh <- ExperimentHub()
query(eh, "ObMiTi")
# load data from ExperimentHub
ob_counts <- query(eh, "ObMiTi")[[1]]
# print object
ob_counts
For citing the package use:
#citing the package
citation("ObMiTi")