iCheck

iCheck performs quality control and analysis of high-dimensional Illumina mRNA expression datasets to detect batch effects, sample contamination, and technical artifacts and to prepare data for downstream genomic analyses.


Key Features:

  • Quality Control Pipeline: Provides an automated QC pipeline that checks for batch effects, sample contamination, and technical artifacts in high-throughput mRNA expression data.
  • Data Analysis Tools: Offers analysis utilities for preprocessing, normalization, and large-scale interpretation of gene expression datasets.
  • Interoperability with Bioconductor: Integrates with the Bioconductor framework and the R programming environment to enable compatibility with other genomic analysis packages.

Scientific Applications:

  • Genomics Research: Supports preprocessing, normalization, differential expression analysis, and pathway enrichment workflows for Illumina mRNA expression studies.
  • Molecular Biology Studies: Facilitates analysis of high-dimensional expression data to investigate biological processes and disease mechanisms.

Methodology:

Uses statistical methods implemented in the R programming language for systematic data quality assessment and analysis.

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.

Documentation

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