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ltrdigest_complete.fas_DfamAnnotation.out' does not exist #22
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It seems like you don't have enough memory to perform the search. I would recommend to use a computer with more RAM. I hope this helps. |
Thanks for that pointing out. I run it on 500G RAM machine with 32 cpu still getting the same error. I am not aware of how to allocate memory size to LTRpred in the parameterization options listed in the documentation. Another challenge, is there a tweak to set up LTRpred to pick dfamscan from local installation or conda version which could help to test it in a server machine where one doesn't have admin privilege to install dfamscan in /usr/local/bin/? |
Any suggestions on this, please? |
Hi Sadik, Since this is an issue coming from the dfamscan script provided by the Dfam community, I would suggest to contact them. Alternatively, have you tried running the failed command? :
Maybe this yields more comprehensive error messages? For me to understand, does the Regarding your question:
You can run the dfamscan.pl directly without sudo rights in any folder by typing:
I hope this helps. Cheers, |
I am facing the same issue when feeding 300K sequences to LTRpred Dfam scan with 1TB RAM, 112 threads machine. Fatal exception (source file esl_hmm.c, line 198): If RAM is the limitation causing the fault by feeding so many sequences, is it possible to do Dfam nhmmscan by batch? (eg. scan 1-1000 sequences -> store the result in tmp -> scan 1001-2000 sequences ->store the result in tmp -> ....->combine the chunks to the final output. |
Hi @a7032018 This is an excellent idea. Do I understand correctly that LTRpred annotated 300k elements and you would like to run all 300k elements against Dfam? By any chance, did you enable the TE family clustering option in Regarding the batch Dfam scans I noted it down as feature request and will work on it when time permits. |
Hi HajkD, Yes. I'd like to run all 300K elements against Dfam for the annotation purpose. Thanks! |
Hi LTRpred is crushing after step 4. Dfam is manually downlaoded and kept in the directory where ltrpred set to run and assigned with annotate = "Dfam", Dfam.db = "dfam" in the ltrpred R script
Any suggesion please?
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