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I have RNA-seq data from Illumina GA (single-ended)and Hiseq (pair-ended). Just wonder if I could put them together in differential gene expression analysis. I know pair-end is much better than single-end in accuracy. But not sure if it is reasonable to put them together in the analysis. many thanks
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No, paired-end is not better in accuracy. At least, for simple differential expression analysis, it does not make much of a difference.
As for your question, the answer is: It depends.
Hence, please always give details on your experimental design when posting a question here, -
Thank you for reply.
I have 10 samples in treatment and 12 samples in untreatment group. In treatment, I have 5 single and 5 pair-ended samples. In untreatment, I have 8 single and 3 pair-ended samples.
Sorry, I am not the person who designed the experiment. Have no idea why they put it into such way. But I have to do the data analysis.
Many thanks.Comment
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Well, as long as you have both platforms in both conditions, this is fine. Just treat the library type as a covariate, as in the example in the vignette. (There, we used on purpose a dataset with such a mixture of single-end and paired-end data to demonstrate how to use covariates.)Comment
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