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The current release doesn't offer this. However I happen to have a test branch that can do this (feature/riboseq_352). This was initially written with RiboSeq in mind, so there's a "--RiboSeq X" that will then use the Xth base from the 5' end of the read. I could change this to allow negative values, which would then support things like GROseq and PROseq. This is all in development, but it'll likely give reasonable results.
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I guess bamCoverage does not give the option to offset reads by specific numbers of bases given the binding event of specific enzymes?
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Provided you're happy with a bigWig file then either of the options I presented will work. Otherwise you might have to script something using pysam in python.
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Transposase
I am trying to account for the binding of Transposase by offsetting the read alignments on the +/- strands.
Originally posted by dpryan View PostI guess it depends on what you're trying to achieve. If you're trying to generate sharper coverage tracks then you can use bamCoverage from deepTools with either the --MNase or --centerReads options. Those both operate on fragments.
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I guess it depends on what you're trying to achieve. If you're trying to generate sharper coverage tracks then you can use bamCoverage from deepTools with either the --MNase or --centerReads options. Those both operate on fragments.
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BAM file nt offsets
Hi wondering if someone knows of a quick and easy way to offset a BAM alignment by N nucleotiodes towards the center of a fragment? Thank you.Tags: None
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by SEQadmin2
NGS has revolutionized clinical microbiology by offering new ways to identify and surveil pathogens without prior knowledge of the target. One popular approach is 16S rRNA and ITS amplicon sequencing, which targets specific microbial markers. But studies are increasingly incorporating shotgun metagenomics, a technique that sequences all DNA from a sample without targeting specific microbial markers. This approach allows more detailed taxonomic classification, detection...-
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by SEQadmin2
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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Genome Sequencing Reveals Large, Repeat-Rich DNA in Trapdoor Spider Named for Stephen Colbert
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