I'm sure this has been asked before, but does anyone know how to perform upper quartile normalization on RNA-seq data? I cannot find a script to do this and it seems like it should be a simple matter of getting the read counts for each lane and then normalizing (but I'm not certain as to the statistical calculation behind this, although I know it is not complex). Thanks.
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Goby supports Upper Quartile normalization since version 1.5. See argument --normalization-methods at http://campagnelab.org/software/goby...tation-counts/
See also http://campagnelab.org/software/goby...al-expression/
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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).
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