Open SebastianHollizeck opened 5 years ago
Please check if your input is malformated. Can you provide a header here?
These are the files I used
[shollizeck@vmpr-res-cluster1 test_phylogicNDT]$ cat CA99_input.sif
sample_id maf_fn seg_fn purity timepoint
CA9911 CA99-11.tsv 0.71 0
CA9926 CA99-26.tsv 0.60 0
CA9931 CA99-31.tsv 0.15 0
CA9941 CA99-41.tsv 0.21 0
CA9947 CA99-47.tsv 0.45 0
CA9955 CA99-55.tsv 0.37 0
CA9957 CA99-57.tsv 0.60 0
CA9959 CA99-57.tsv 0.66 0
and
[shollizeck@vmpr-res-cluster1 test_phylogicNDT]$ head CA99-11.tsv
Hugo_Symbol Chromosome Start_position Reference_Allele Tumor_Seq_Allele2 t_ref_count t_alt_count ccf_0.00 ccf_0.01 ccf_0.02 ccf_0.03 ccf_0.04 ccf_0.05 ccf_0.06 ccf_0.07 ccf_0.08 ccf_0.09 ccf_0.10 ccf_0.11 ccf_0.12 ccf_0.13 ccf_0.14 ccf_0.15 ccf_0.16 ccf_0.17 ccf_0.18 ccf_0.19 ccf_0.20 ccf_0.21 ccf_0.22 ccf_0.23 ccf_0.24 ccf_0.25 ccf_0.26 ccf_0.27 ccf_0.28 ccf_0.29 ccf_0.30 ccf_0.31 ccf_0.32 ccf_0.33 ccf_0.34 ccf_0.35 ccf_0.36 ccf_0.37 ccf_0.38 ccf_0.39 ccf_0.40 ccf_0.41 ccf_0.42 ccf_0.43 ccf_0.44 ccf_0.45 ccf_0.46 ccf_0.47 ccf_0.48 ccf_0.49 ccf_0.50 ccf_0.51 ccf_0.52 ccf_0.53 ccf_0.54 ccf_0.55 ccf_0.56 ccf_0.57 ccf_0.58 ccf_0.59 ccf_0.60 ccf_0.61 ccf_0.62 ccf_0.63 ccf_0.64 ccf_0.65 ccf_0.66 ccf_0.67 ccf_0.68 ccf_0.69 ccf_0.70 ccf_0.71 ccf_0.72 ccf_0.73 ccf_0.74 ccf_0.75 ccf_0.76 ccf_0.77 ccf_0.78 ccf_0.79 ccf_0.80 ccf_0.81 ccf_0.82 ccf_0.83 ccf_0.84 ccf_0.85 ccf_0.86 ccf_0.87 ccf_0.88 ccf_0.89 ccf_0.90 ccf_0.91 ccf_0.92 ccf_0.93 ccf_0.94 ccf_0.95 ccf_0.96 ccf_0.97 ccf_0.98 ccf_0.99 ccf_1.00
UNKNOWN 10 107969 T C 66 1
UNKNOWN 10 168689 C T 75 0
UNKNOWN 10 387459 A C 76 1
UNKNOWN 10 414108 G T 33 0
UNKNOWN 10 430991 T G 75 0
UNKNOWN 10 493860 T G 47 0
UNKNOWN 10 541819 C A 64 0
UNKNOWN 10 548907 G A 66 0
UNKNOWN 10 551557 T G 80 0
You don't seem to have any input CCF values?
On Thu, Nov 14, 2019 at 9:38 PM SebastianHollizeck notifications@github.com wrote:
These are the files I used
[shollizeck@vmpr-res-cluster1 test_phylogicNDT]$ cat CA99_input.sif sample_id maf_fn seg_fn purity timepoint CA9911 CA99-11.tsv 0.71 0 CA9926 CA99-26.tsv 0.60 0 CA9931 CA99-31.tsv 0.15 0 CA9941 CA99-41.tsv 0.21 0 CA9947 CA99-47.tsv 0.45 0 CA9955 CA99-55.tsv 0.37 0 CA9957 CA99-57.tsv 0.60 0 CA9959 CA99-57.tsv 0.66 0
and
[shollizeck@vmpr-res-cluster1 test_phylogicNDT]$ head CA99-11.tsv Hugo_Symbol Chromosome Start_position Reference_Allele Tumor_Seq_Allele2 t_ref_count t_alt_count ccf_0.00 ccf_0.01 ccf_0.02 ccf_0.03 ccf_0.04 ccf_0.05 ccf_0.06 ccf_0.07 ccf_0.08 ccf_0.09 ccf_0.10 ccf_0.11 ccf_0.12 ccf_0.13 ccf_0.14 ccf_0.15 ccf_0.16 ccf_0.17 ccf_0.18 ccf_0.19 ccf_0.20 ccf_0.21 ccf_0.22 ccf_0.23 ccf_0.24 ccf_0.25 ccf_0.26 ccf_0.27 ccf_0.28 ccf_0.29 ccf_0.30 ccf_0.31 ccf_0.32 ccf_0.33 ccf_0.34 ccf_0.35 ccf_0.36 ccf_0.37 ccf_0.38 ccf_0.39 ccf_0.40 ccf_0.41 ccf_0.42 ccf_0.43 ccf_0.44 ccf_0.45 ccf_0.46 ccf_0.47 ccf_0.48 ccf_0.49 ccf_0.50 ccf_0.51 ccf_0.52 ccf_0.53 ccf_0.54 ccf_0.55 ccf_0.56 ccf_0.57 ccf_0.58 ccf_0.59 ccf_0.60 ccf_0.61 ccf_0.62 ccf_0.63 ccf_0.64 ccf_0.65 ccf_0.66 ccf_0.67 ccf_0.68 ccf_0.69 ccf_0.70 ccf_0.71 ccf_0.72 ccf_0.73 ccf_0.74 ccf_0.75 ccf_0.76 ccf_0.77 ccf_0.78 ccf_0.79 ccf_0.80 ccf_0.81 ccf_0.82 ccf_0.83 ccf_0.84 ccf_0.85 ccf_0.86 ccf_0.87 ccf_0.88 ccf_0.89 ccf_0.90 ccf_0.91 ccf_0.92 ccf_0.93 ccf_0.94 ccf_0.95 ccf_0.96 ccf_0.97 ccf_0.98 ccf_0.99 ccf_1.00 UNKNOWN 10 107969 T C 66 1 UNKNOWN 10 168689 C T 75 0 UNKNOWN 10 387459 A C 76 1 UNKNOWN 10 414108 G T 33 0 UNKNOWN 10 430991 T G 75 0 UNKNOWN 10 493860 T G 47 0 UNKNOWN 10 541819 C A 64 0 UNKNOWN 10 548907 G A 66 0 UNKNOWN 10 551557 T G 80 0
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/broadinstitute/PhylogicNDT/issues/9?email_source=notifications&email_token=ABTLJRESLOLZ5VOBNU3X7Y3QTYDR7A5CNFSM4I6KEN3KYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEEEC25I#issuecomment-554184053, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABTLJREXYDKXDKBRALR6UB3QTYDR7ANCNFSM4I6KEN3A .
As the guide said
the .maf should contain pre-computed raw ccf histograms based on mutations alt/ref count, local copy-number and sample purity (Absolute annotated mafs or .Rdata files are also supported) if the ccf histograms are absent - PhylogicNDT will attempt to compute them from available mutation info as above
I left the ccf values empty
But then you need local absolute copy number data for each mutation. Do you have that?
On Thu, Nov 14, 2019 at 10:22 PM SebastianHollizeck < notifications@github.com> wrote:
As the guide said
the .maf should contain pre-computed raw ccf histograms based on mutations alt/ref count, local copy-number and sample purity (Absolute annotated mafs or .Rdata files are also supported) if the ccf histograms are absent - PhylogicNDT will attempt to compute them from available mutation info as above
I left the ccf values empty
— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/broadinstitute/PhylogicNDT/issues/9?email_source=notifications&email_token=ABTLJRG233KRLQZTAC3UTFTQTYIVXA5CNFSM4I6KEN3KYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEEEFJ4Q#issuecomment-554194162, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABTLJRG6DVAE3YHNGRSRT5TQTYIVXANCNFSM4I6KEN3A .
I do have that yes
Sorry - to close out this thread - if you have local absolute copy number data - should those be added to the maf file? 2 columns with nmin and and nmaj?
Hey,
with my command
I get
can you help me fix that?
Cheers, Sebastian