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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The immune system’s power comes from its genetic diversity, allowing myriad threats to be neutralized through first recognizing foreign antigens. That diversity is also what makes the immune system so difficult to study. Recent advances in sequencing technology and computational biology, however, are giving researchers new tools to understand immune responses and immune-related diseases in greater detail.
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