Open edceeyuchen opened 1 year ago
Looks good - you may want to set --run_AA --run_AC
if you are planning to launch AA and AC after.
Looks good - you may want to set
--run_AA --run_AC
if you are planning to launch AA and AC after.
Thanky for your quick reply! And I try this pipeline, find most samples have ecDNA(>50%), I worried about the high proportion, maybe there is better pipeline for tumor only samples calling AA?
For some cancer types (e.g. GBM) this rate is expected. I would be happy to look at any outputs or log files you would like to share to check for correctness of running the pipeline. AA .png images and AmpliconSuite log files are quick for me to assess and debug. My email is jluebeck [at] ucsd.edu.
Thanks, Jens
Sure! I will send these files to your email! Thank you for your help!
For some cancer types (e.g. GBM) this rate is expected. I would be happy to look at any outputs or log files you would like to share to check for correctness of running the pipeline. AA .png images and AmpliconSuite log files are quick for me to assess and debug. My email is jluebeck [at] ucsd.edu.
Thanks, Jens
Sorry, I can't send my email to you(jluebeck@ucsd.edu) because of 'the message was rejected by the recipient'.
Strange - it is a Google-managed account and is able to get other messages. Perhaps can you try sending from a different email? It's also possible it does not like whatever format the attached files were in.
jluebeck@ucsd.edu
I has changed another email, and successed!
Strange - it is a Google-managed account and is able to get other messages. Perhaps can you try sending from a different email? It's also possible it does not like whatever format the attached files were in.
Hi jluebeck! We have another problem, when I do this pipeline for normal samples, there are ecDNAs also, it's so confused.
Thanks for sending the tumor-only files. I reviewed the files and the outputs look to be in order. I did not see any obvious bugs. In a small number of samples with previously established CN alterations (e.g. chromothripsis), 50% ecDNA is not a surprising number to me. However, I recommend though that you update your versions of AmpliconSuite-pipeline, AmpliconArchitect and AmpliconClassifier to the latest versions (e.g. AA is now at 1.3.r6 on the AmpliconSuite fork).
That is very unusual to see ecDNA calls from the pipeline on normal samples. Please feel free to also send the results for your normal samples and I will be happy to review. First though, I recommend that you check that you have the latest versions of all tools and re-run to see if you still obtain ecDNA+ calls in normal. It also helps if you are able to share the stdout printed by PrepareAA.py (now called AmpliconSuite-pipeline.py).
Thanks for sending the tumor-only files. I reviewed the files and the outputs look to be in order. I did not see any obvious bugs. In a small number of samples with previously established CN alterations (e.g. chromothripsis), 50% ecDNA is not a surprising number to me. However, I recommend though that you update your versions of AmpliconSuite-pipeline, AmpliconArchitect and AmpliconClassifier to the latest versions (e.g. AA is now at 1.3.r6 on the AmpliconSuite fork).
That is very unusual to see ecDNA calls from the pipeline on normal samples. Please feel free to also send the results for your normal samples and I will be happy to review. First though, I recommend that you check that you have the latest versions of all tools and re-run to see if you still obtain ecDNA+ calls in normal. It also helps if you are able to share the stdout printed by PrepareAA.py (now called AmpliconSuite-pipeline.py).
Very thanks for your quick reviewed. I run PrepareAA with the --sorted_bam ${normal} and not set the --normal_bam parameters, it's alright? And as you said, I will try to update my AA version from 1.3.r1 to 1.3.r6.
Yes, that should be an acceptable control. The files previously sent did not indicate a version of AmpliconSuite-pipeline, but please consider updating to latest (1.0.0): https://github.com/AmpliconSuite/AmpliconSuite-pipeline
Yes, that should be an acceptable control. The files previously sent did not indicate a version of AmpliconSuite-pipeline, but please consider updating to latest (1.0.0): https://github.com/AmpliconSuite/AmpliconSuite-pipeline
OK! I will try it and feedback as soon! Thank you again
Dear Jens, Sorry for several days to test new version of AA and PreAA! I used my normal samples and paired samples to test two version of AA(1.3.r1 and 1.3.r6), PrepareAA(0.1344 and 1.0.0), but generally, the results similar, in normal samples, there is ecDNA, maybe the pipeline is not suitable?
Eager to get your advice, and I will sent my AA and AC result files to you!
Thank you for everytime help!
Yuchen,
Original Email
Sender:"Jens Luebeck"< @.*** >;
Sent Time:2023/9/4 15:00
To:"virajbdeshpande/AmpliconArchitect"< @.*** >;
Cc recipient:"edcee"< @. >;"Author"< @. >;
Subject:Re: [virajbdeshpande/AmpliconArchitect] How can I run PrepareAA withtumor only sample(WGS)? (Issue #142)
Yes, that should be an acceptable control. The files previously sent did not indicate a version of AmpliconSuite-pipeline, but please consider updating to latest (1.0.0): https://github.com/AmpliconSuite/AmpliconSuite-pipeline
— Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you authored the thread.Message ID: @.***>
Yes, that should be an acceptable control. The files previously sent did not indicate a version of AmpliconSuite-pipeline, but please consider updating to latest (1.0.0): https://github.com/AmpliconSuite/AmpliconSuite-pipeline
Hello Jens! The germline samples results about AA had sent to your email! (and it's your google email), Look forward to your suggestion and reply.
I have some samples -only tumour, no any normal samples as control, and here is my code for these pipeline, it's OK?
python3 /share/home/luoylLab/zengyuchen/biosoft/AmpliconSuite-pipeline/PrepareAA.py -s \${tumor} -t 10 --ref GRCh38 --sorted_bam \${tumor_bam} --cnvkit_dir \${cnv} -o \${savedir}/\${tumor}