Tweet
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
-
-
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
-
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
-
The field of immunogenetics explores how genetic variations influence immune responses and susceptibility to disease. In a recent SEQanswers webinar, Oscar Rodriguez, Ph.D., Postdoctoral Researcher at the University of Louisville, and Ruben Martínez Barricarte, Ph.D., Assistant Professor of Medicine at Vanderbilt University, shared recent advancements in immunogenetics. This article discusses their research on genetic variation in antibody loci, antibody production processes,...11-06-2024, 07:24 PM -
Next-generation sequencing (NGS) and quantitative polymerase chain reaction (qPCR) are essential techniques for investigating the genome, transcriptome, and epigenome. In many cases, choosing the appropriate technique is straightforward, but in others, it can be more challenging to determine the most effective option. A simple distinction is that smaller, more focused projects are typically better suited for qPCR, while larger, more complex datasets benefit from NGS. However,...10-18-2024, 07:11 AM
Comment