Hi,
The Readme indicated that "if you have copy number calls (e.g., from HATCHet), you could correct the read counts to represent the true CCF.". How could I "correct" the read counts to represent the CCF? Similar to this issue (#7)? And if so, the reads of mutation ("if a mutation has 100 reads") should be t_ref_counts + t_alt_counts column in MAF format file? For example, I have a MAF file:
sample purity cancer_cell_frac Chromosome Start_Position End_Position Hugo_Symbol Variant_Classification Variant_Type Reference_Allele Tumor_Seq_Allele2 t_ref_count t_alt_count HGVSp_Short patient type treatment time sample2 Tumor_Sample_Barcode
H208682 0.211480023955608 1 chr1 1399081 1399081 CCNL2 Missense_Mutation SNP C T 147 39 p.D76N Patient7 Tumor tissue 0 2 Patient7-2 Patient7-2
H208682 0.211480023955608 0.32 chr1 1627196 1627196 MIB2 Missense_Mutation SNP C T 154 4 p.R455C Patient7 Tumor tissue 0 2 Patient7-2 Patient7-2
The input for first mutation is ref:93 alt:93 ((147+39)*0.5) and second mutation is ref:133 alt:25 ((154+4)*0.16) ?
Thanks
Hi,
The Readme indicated that "if you have copy number calls (e.g., from HATCHet), you could correct the read counts to represent the true CCF.". How could I "correct" the read counts to represent the CCF? Similar to this issue (#7)? And if so, the reads of mutation ("if a mutation has 100 reads") should be
t_ref_counts+t_alt_countscolumn in MAF format file? For example, I have a MAF file:The input for first mutation is
ref:93 alt:93((147+39)*0.5) and second mutation isref:133 alt:25((154+4)*0.16) ?Thanks