multiscan
multiscan estimates gene expression by integrating multiple laser scans of the same microarray to improve accuracy and reliability of expression measurements.
Key Features:
- Multiple Scan Analysis: Processes multiple laser scans from a single microarray experiment and integrates readings to produce consolidated intensity estimates.
- Enhanced Accuracy: Reduces noise and technical variability inherent in single-scan analyses to improve precision of gene expression estimates.
- Bioconductor Integration: Implements computation within the Bioconductor framework and leverages the R statistical programming language.
- Interoperability: Interoperates with other Bioconductor packages to be incorporated into broader analytical workflows.
Scientific Applications:
- Genomics Research: Provides more precise microarray-based gene expression quantification for studies of gene function, regulation, and interaction.
- Molecular Biology Studies: Supports validation and comparison of experimental microarray results by producing more consistent expression measurements.
Methodology:
Operates within Bioconductor and leverages R, using interoperable Bioconductor packages that are subject to initial review and continuous automated testing.
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
Data Inputs & Outputs
Gene expression analysis
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.