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Hello,
I tried to run the coverage_norm function. However, I get the following error:
[1] "2023-08-04 10:50:08 - Obtaining exonic and intronic regions to load coverage from..."
[1] "2023-08-04 10:50:08 - Obtaining regions to use to normalise coverage..."
[1] "2023-08-04 10:50:08 - Importing gtf/gff3 as a TxDb..."
Import genomic features from the file as a GRanges object ... OK
Prepare the 'metadata' data frame ... OK
Make the TxDb object ... OK
1429 genes were dropped because they have exons located on both strands of the same
reference sequence or on more than one reference sequence, so cannot be represented by a
single genomic range.
Use 'single.strand.genes.only=FALSE' to get all the genes in a GRangesList object, or use
suppressMessages() to suppress this message.
Error in .Call2("C_solve_user_SEW0", start, end, width, PACKAGE = "IRanges") :
In range 240: at least two out of 'start', 'end', and 'width', must
be supplied.
Could you please help me with this? Thank you!
Best,
Salwa.
The text was updated successfully, but these errors were encountered:
Hello,
I tried to run the coverage_norm function. However, I get the following error:
[1] "2023-08-04 10:50:08 - Obtaining exonic and intronic regions to load coverage from..."
[1] "2023-08-04 10:50:08 - Obtaining regions to use to normalise coverage..."
[1] "2023-08-04 10:50:08 - Importing gtf/gff3 as a TxDb..."
Import genomic features from the file as a GRanges object ... OK
Prepare the 'metadata' data frame ... OK
Make the TxDb object ... OK
1429 genes were dropped because they have exons located on both strands of the same
reference sequence or on more than one reference sequence, so cannot be represented by a
single genomic range.
Use 'single.strand.genes.only=FALSE' to get all the genes in a GRangesList object, or use
suppressMessages() to suppress this message.
Error in .Call2("C_solve_user_SEW0", start, end, width, PACKAGE = "IRanges") :
In range 240: at least two out of 'start', 'end', and 'width', must
be supplied.
Could you please help me with this? Thank you!
Best,
Salwa.
The text was updated successfully, but these errors were encountered: