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Well, for future reference, if anyone runs into this thread, I ended up using an on-line program called TagCleaner to identify possible primer tags in next-gen sequences and then cut them out using that tool. Seemed to work well.
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Thanks for the response, bbeitzel. Yes, I noticed a common sequence as well, which is probably the Universal primer, in lots (~53% of all, ~5% at 3' end and ~48% at 5' end) of the reads, but not all. Unfortunately, the sequence is ~18bp long and Sigma said their universal primer was 30 bp. Was your motif closer to one of these two? Unfortunately, our template in this case is likely to have lots of repetitive motifs in them (microdissected chromosome with big peri-centromeric regions) so we need to be as careful as possible about removing components that are actually meaningful to us.
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We had a similar issue with some metagenomics samples that we were doing for a collaborator, and if I recall correctly, we could identify the Sigma primers by examining a small number of the reads. The primer sequences were common on all of the reads.
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Sigma Genomeplex Whole genome amplification primer removal
Someone recently asked me to help them build an assembly for some 454 data sequenced after using the Sigma/Aldrich Genomeplex Whole Genome Amplicification kit. Unfortunately, the primer sequencing used in library construction are all proprietary sequences and I can't seem to find them anywhere. Has anyone else dealt with this type of data and need for unknown primer removal. Any suggestions on how to identify possible primer sequences and cut them out of my sequences aside from some sort of wholesale global end-trimming approach?
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Tumors contain complex mixtures of cell populations that evolve in response to treatment and host-specific factors. Tissue biopsies provide only static snapshots of a tumor’s state. But what if we could follow that evolution over time using a minimally invasive technique?
Liquid biopsies can detect tumor-derived material circulating in the bloodstream, providing a way to study treatment response, detect emerging resistance, and discover new biomarkers. Circulating...-
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