Joint Preprocessing of RNA-Seq and Microarray datasets
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Jo ▴ 30
@jo-8608
Last seen 8.8 years ago

Hi,

I would like to jointly pre-process RNA-Seq datasets and Microarray datasets together. Are there any pipelines or ways to do this? Please advise.

Thanks

 

preprocessing rnaseq microarray • 2.9k views
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That's going to depend very heavily on what you want to do with this data.

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I want to normalize, remove batch effects (ComBat), and run limma on the datasets jointly.

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@gordon-smyth
Last seen 3 minutes ago
WEHI, Melbourne, Australia

No, you can't preprocess RNA-seq and microarrays together, nor would I include them in the same linear model in limma. The technologies are just too different.

Edit: The way that we usually handle this is to analyze the RNA-seq and microarray studies separately, then relate one experiment to the other using gene set tests (roast, barcodeplot etc) or a scatterplot of genewise log-fold-changes (e.g., microarray on the x-axis vs RNA-seq on the y-axis).

None of this requires batch correction or meta analysis.

 

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Thanks for the reply. Is it possible to do a meta-analyses combining RNA-Seq datasets and Microarray datasets? If so how? Thanks in advance.

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Assuming that the RNA-Seq and microarray datasets are based on the same types of samples, the basic idea would be to process each separately, and then use something like the GeneMeta package to analyze.

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