assessing data quality of matched samples from RNA-seq and WGS

Question

[zizigolu]

HI,

how to assess data quality of a cohort of samples with matched RNA-seq and WGS data (with different sequencing depths)??

I found NGSCheckMate software but I could not get if this tool only the defines outliers or what.

Thanking you in advance

[GenoMax]

Why not use FastQC/MultiQC? Quality in what terms? Raw data/alignments/DE results?

[zizigolu]

Thank you, I was ask this question. I think they mean assessing quality of data in matched samples in RNA-seq and WGS to eliminate platform-spesific biases from raw data

[WouterDeCoster]

If you have matched RNA-seq and WGS you could do variant calling on both and see how well the variants correspond, but keep in mind that RNA-seq is not really the most optimal tool for variant calling due to the VERY uneven expressionpatterns.

[I edited your title to make it more specific]

[zizigolu]

Thank you, the goal is exploring transcriptional patterns underlying genomic alterations.

[WouterDeCoster]

In that case, I don't think it makes a lot of sense to assess their quality together, but just per dataset. Doing variant calling could tell you no swapping/contamination has happened.

[zizigolu]

I found NGSCheckMate to check the samples being matched between WGS and platforms.