SCLCBam
This is the released version of SCLCBam; for the devel version, see SCLCBam.
Sequence data from chromosome 4 of a small-cell lung tumor
Bioconductor version: Release (3.23)
Whole-exome sequencing data from a murine small-cell lung tumor; only contains data of chromosome 4.
Author: Thomas Kuilman
Maintainer: Oscar Krijgsman <o.krijgsman at nki.nl>
citation("SCLCBam")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SCLCBam")
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("SCLCBam")| SCLCBam | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | ExperimentData, LungCancerData, SequencingData |
| Version | 1.44.0 |
| License | GPL-2 |
| Depends | R (>= 2.10) |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | BiocStyle |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | SCLCBam_1.44.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (big-sur-x86_64) | |
| macOS Binary (sonoma-arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/SCLCBam |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SCLCBam |
| Package Short Url | https://bioconductor.org/packages/SCLCBam/ |
| Package Downloads Report | Download Stats |