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bioconductor-illuminaio

Tools for parsing Illumina's microarray output files, including IDAT.

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bioconductor-illuminaio

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Use bioconductor-illuminaio to outline raw IDAT parsing and metadata extraction for [IDAT files] from [Illumina platform], including any GenomeStudio comparison considerations.

Required inputs

  • [IDAT files]
  • [Illumina platform]

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SKILL.md

name: bioconductor-illuminaiodescription: Tools for parsing Illumina's microarray output files, including IDAT.when_to_use: "Use when: Raw IDAT parsing: Reading raw binary Illumina IDAT files from expression or genotyping microarrays using readIDAT.; Metadata extraction: Extracting per-bead-type values (e.g., MeanBinData, NumBeadsBinData, DevBinData) directly from Illumina BeadChip platforms.; Custom pipeline building: Providing a mechanism for developers of downstream analysis packages to extract all possible information from ID. Not for: High-level analysis: For end-to-end normalization and differential expression analysis, use downstream packages because illuminaio is strictly designed for raw file parsing and leaves data retention choices to the user.; Affymetrix microarrays: For A"user-invocable: false

illuminaio

Dependencies & Environment

Package-intrinsic requirements from the Bioconductor landing page — reproduce in any R environment.

  • Version: 0.54.0 · Bioconductor: 3.23 · R: ≥ 4.6
  • Imports: base64
  • Install: BiocManager::install("illuminaio")

When to Use

  • Raw IDAT parsing: Reading raw binary Illumina IDAT files from expression or genotyping microarrays using readIDAT.
  • Metadata extraction: Extracting per-bead-type values (e.g., MeanBinData, NumBeadsBinData, DevBinData) directly from Illumina BeadChip platforms.
  • Custom pipeline building: Providing a mechanism for developers of downstream analysis packages to extract all possible information from IDAT files.

When NOT to Use

  • High-level analysis: For end-to-end normalization and differential expression analysis, use downstream packages because illuminaio is strictly designed for raw file parsing and leaves data retention choices to the user.
  • Affymetrix microarrays: For Affymetrix microarray data, use affy or oligo instead because illuminaio is exclusively built for Illumina BeadArray platforms.

Data Requirements

  • Input format: Raw Illumina .idat files (e.g., _Grn.idat).
  • Optional files: GenomeStudio output files (e.g., tab-separated text files) for comparison and validation.

Key Parameters

  • file: Path to the .idat file to be parsed by readIDAT.

Best Practices

  • Pass the file path directly to readIDAT; the function will automatically determine the IDAT format and call the appropriate internal reading routine.
  • When comparing illuminaio output to GenomeStudio, remember to identify and remove internal control bead-types, as GenomeStudio excludes these automatically.
  • Reorder the extracted bead-types numerically if comparing against GenomeStudio output, which sorts bead-types alphabetically.

Common Pitfalls

  • Discrepancies with GenomeStudio: Small differences in summarized bead-intensity values when compared to GenomeStudio. Fix: Recognize that these are introduced by rounding performed by GenomeStudio that is not carried out by illuminaio.
  • Mismatched bead-type counts: Having more bead-types in the illuminaio output than in GenomeStudio exports. Fix: Filter out the unannotated internal control bead-types that illuminaio extracts by default.

Alternatives

  • minfi: High-level package for analyzing Illumina Infinium DNA methylation microarrays that uses illuminaio under the hood.
  • beadarray: Specifically designed for Illumina BeadArray expression data, providing advanced normalization and QC beyond basic parsing.

Citations

  • Mike L Smith, Keith A Baggerly, Henrik Bengtsson, Matthew E Ritchie, and Kasper D Hansen. illuminaio: An open source IDAT parsing tool for Illumina microarrays. F1000Research, 2:264, 2013.

References


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