xps
xps processes Affymetrix GeneChip expression array data, including exon arrays, gene arrays, and plate arrays, to perform preprocessing, normalization, filtering, and analysis for gene- and exon-level expression studies.
Key Features:
- Pre-processing: Facilitates initial processing of raw data from Affymetrix GeneChip expression arrays.
- Normalization: Implements normalization techniques to adjust for systematic variation across samples.
- Filtering: Provides filtering options to remove low-quality or irrelevant data points.
- Analysis: Supports comprehensive analysis workflows tailored to gene expression studies using Affymetrix arrays.
- Low-memory operation: Operates on systems with as little as 1 GB of RAM.
- Bioconductor integration: Distributed as a Bioconductor package implemented in the statistical programming language R for interoperability with other Bioconductor packages.
Scientific Applications:
- Gene expression profiling: Enable detailed gene-level expression profiling from Affymetrix GeneChip data.
- Exon-level and alternative splicing analysis: Investigate exon-level expression patterns and alternative splicing using exon arrays.
- Large-scale dataset analysis: Analyze large-scale Affymetrix datasets, including plate arrays, on systems with limited memory.
- Integrated genomics workflows: Combine xps functionality with other Bioconductor packages for integrated analyses across genomics studies.
Methodology:
Implemented in R as a Bioconductor package and performs preprocessing, normalization, filtering, and downstream expression analyses for Affymetrix GeneChip, exon, gene, and plate arrays.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Publications
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. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.