I recently obtained strange results from a ChIP-seq experiment. Rather than having relatively thorough coverage of the genome, my reads were separated by large gaps and many were identical to each other and stacked right on top of each other. (I should note that I did also see enrichment at predicted areas.) We have not observed this pattern before. Then only thing that we see abnormal in the Illumina sequencer output info is that there was a large bias for G as the first nucleotide in the sequences. Could be related to the large stacks of identical reads? Any thoughts on why this may be occuring? Do you think it could be an inefficient ligation or amplification issue? TIA!
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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
