Does anyone have suggestions for mapping capture data? For example, mapping to the whole genome or mapping to the reference regions within the capture only.
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Whole genome; always to the whole genome. Remember that all of the target enrichment protocols do just that, the enrich your input set for the target of interest but there will always be off target reads present. You want those off target reads to align to their true location, not be forced into an incorrect alignment because you mapped to an incomplete reference.
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by SEQadmin2
CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...-
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07-31-2026, 11:01 AM -
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by SEQadmin2
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...-
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07-20-2026, 11:48 AM -
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