I am dealing a set of RNA-seq data generated by Illumina, aligned and assembled by tophat-cufflinks pipeline. I wonder why so many of my non-code RNA expression values are zero, but not all of them?
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I"m guessing this is, for you, an early look at rnaseq results. Some genes are expressed, some aren't; this includes non-coding RNA. You'll see this as aligned reads with a gene (mostly the exons) and some genes have no alignments (meaning , likely, that they are not expressed or got filtered out during wet-lab processing). Some protocols only pick up polya mrna. If you can fully explain why some are lighting up and others aren't; then you got a paper.
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The immune system’s power comes from its genetic diversity, allowing myriad threats to be neutralized through first recognizing foreign antigens. That diversity is also what makes the immune system so difficult to study. Recent advances in sequencing technology and computational biology, however, are giving researchers new tools to understand immune responses and immune-related diseases in greater detail.
This convergence of genetics, immunology, and computation...09-01-2026, 05:41 AM
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