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

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.

Documentation

Downloads