Hello All,
I am working with samples that have miRNA/tRNA and piRNA. Is there a sane way to normalize this data for sequencing depth bias?
Simple count standardization to a million mapped tags doesn't seem sufficient, but I'm unsure of a better way to approach this. We did spike-in with a c-elegans miRNA spike in, but is it appropriate to standardize tRNA populations using that miRNA?
Any recommendations would be greatly appreciated!
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Innovations in next-generation sequencing technologies and techniques are driving more precise and comprehensive exploration of complex biological systems. Current advancements include improved accessibility for long-read sequencing and significant progress in single-cell and 3D genomics. This article explores some of the most impactful developments in the field over the past year.
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