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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 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