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HumanRetinaLRSData

This is the development version of HumanRetinaLRSData; to use it, please install the devel version of Bioconductor.

Long-read RNA-seq gene count data from human retinal organoids


Bioconductor version: Development (3.23)

Dataset package containing gene and isoform count matrices, and sample metadata for long-read direct cDNA sequencing of human retinal organoids, 2D retinal ganglion cell (RGC) cultures, and flowthrough fractions from H9 and EP1 iPSC cell lines. Data were generated using Oxford Nanopore Technology (ONT) direct cDNA sequencing and mapped to the GRCh38 reference genome (GENCODE v46 annotation). The package provides accessor functions returning SummarizedExperiment objects for gene-level counts, isoform-level counts, and a matrix of allele-specific expression (ASE) gene counts. Data files are stored in flat CSV format in an Open Science Framework (OSF) repository and cached locally via BiocFileCache.

Author: Sowmya Parthiban [aut, cre]

Maintainer: Sowmya Parthiban <sparthi1 at jhu.edu>

Citation (from within R, enter citation("HumanRetinaLRSData")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("HumanRetinaLRSData")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HumanRetinaLRSData")
Retinal Organoids counts data: Gene and Isoform Level Exploration HTML R Script
Reference Manual PDF

Details

biocViews CellCulture, ExperimentData, ExpressionData, Homo_sapiens_Data, RNASeqData
Version 0.99.5
License MIT + file LICENSE
Depends R (>= 4.6.0), SummarizedExperiment
Imports osfr, BiocFileCache
System Requirements
URL https://github.com/sparthib/HumanRetinaLrsData
Bug Reports https://github.com/sparthib/HumanRetinaLrsData/issues
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Suggests testthat, knitr, rmarkdown, ggplot2, ggrepel
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package HumanRetinaLRSData_0.99.5.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/HumanRetinaLRSData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/HumanRetinaLRSData
Package Short Url https://bioconductor.org/packages/HumanRetinaLRSData/
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