tilingArray
Transcript mapping with high-density oligonucleotide tiling arrays
Bioconductor version: 3.23 · Package version: 1.90.0
The package provides functionality that can be useful for the analysis of high-density tiling microarray data (such as from Affymetrix genechips) for measuring transcript abundance and architecture. The main functionalities of the package are: 1. the class 'segmentation' for representing partitionings of a linear series of data; 2. the function 'segment' for fitting piecewise constant models using a dynamic programming algorithm that is both fast and exact; 3. the function 'confint' for calculating confidence intervals using the strucchange package; 4. the function 'plotAlongChrom' for generating pretty plots; 5. the function 'normalizeByReference' for probe-sequence dependent response adjustment from a (set of) reference hybridizations.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("tilingArray") Details
| Maintainer | Zhenyu Xu <zxu@embl.de> |
| Author | Wolfgang Huber, Zhenyu Xu, Joern Toedling with contributions from Matt Ritchie |
| License | Artistic-2.0 |
| Downloads rank | 790 |
| Source branch | RELEASE_3_23 |
| biocViews | Microarray, OneChannel, Preprocessing, Software, Visualization |
Documentation
- Introduction to the plotAlongChrom function
- Introduction to using the segment function to fit a piecewise constant curve
- Normalisation with the normalizeByReference function in the tilingArray package
- Segmentation demo
- Supplement. Calculation of the cost matrix
Download
Follow the installation instructions to use this package in your R session.
| Source package | tilingArray_1.90.0.tar.gz |
| Windows binary (x86_64) | tilingArray_1.90.0.zip |
| macOS binary (arm64) | tilingArray_1.90.0.tgz |
| macOS binary (x86_64) | tilingArray_1.90.0.tgz |
Dependencies
Depends: R (>= 2.11.0), Biobase, methods, pixmap
Imports: strucchange, affy, vsn, genefilter, RColorBrewer, grid, stats4