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Hi,
I am trying to use CNVkit to infer CNV profiles from RNA-seq. Because I don't have CNV-RNA correlation data (mouse dataset), I tried to compare how much the results can be different between with and without "-c" for example TCGA data (106 samples) that you provided. But all of the log2 values in ".cnr" files for 106 samples are zero in both results (with and without "-c"). Did I miss something?
Here are my commands:
"cnvkit.py import-rna -f counts -c tcga-skcm.cnv-expr-corr.tsv -g ensembl-gene-info.hg38.tsv -o {output} --out-dir {output_dir} {input_cnt}"
Hi,
I am trying to use CNVkit to infer CNV profiles from RNA-seq. Because I don't have CNV-RNA correlation data (mouse dataset), I tried to compare how much the results can be different between with and without "-c" for example TCGA data (106 samples) that you provided. But all of the log2 values in ".cnr" files for 106 samples are zero in both results (with and without "-c"). Did I miss something?
Here are my commands:
"cnvkit.py import-rna -f counts -c tcga-skcm.cnv-expr-corr.tsv -g ensembl-gene-info.hg38.tsv -o {output} --out-dir {output_dir} {input_cnt}"
"cnvkit.py import-rna -f counts -g ensembl-gene-info.hg38.tsv -o {output} --out-dir {output_dir} {input_cnt}"
input_cnt: ex) TCGA-BF-A1PU-01.txt
Thanks!
Jinhyuk
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