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Hey Lorenzo, first of all good job. I like Ribo-seQC and SaTAnn very much.
While applying Ribo-seQC on a small Ribo-seq library, I got the following error:
Error in base::colMeans(x, na.rm = na.rm, dims = dims, ...) : 'x' must be an array of at least two dimensions
The problem is that during read length estimation (MT) only one transcript shows signal which causes a data frame drop. This can be easily solved by:
codon_gain<- codon_gain[!apply(codon_gain,1,FUN = function(y){sum(is.na(y))>0}),, drop=F]
best, Valentin
The text was updated successfully, but these errors were encountered:
Thank you Valentin, will do! Sorry for seeing this late
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Hey Lorenzo,
first of all good job. I like Ribo-seQC and SaTAnn very much.
While applying Ribo-seQC on a small Ribo-seq library, I got the following error:
Error in base::colMeans(x, na.rm = na.rm, dims = dims, ...) :
'x' must be an array of at least two dimensions
The problem is that during read length estimation (MT) only one transcript shows signal which causes a data frame drop. This can be easily solved by:
codon_gain<- codon_gain[!apply(codon_gain,1,FUN = function(y){sum(is.na(y))>0}),, drop=F]
best,
Valentin
The text was updated successfully, but these errors were encountered: