CeleScope
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Problem in mkref command
Hi,
I was following the tutorial to install Celescope, but I had an issue with the mkref command:
(celescope) root@PT-DR-GHIROLDI:/home/aghiroldi/hs_ensemble_99# celescope rna mkref \
--genome_name Homo_sapiens_ensembl_99_filtered
--fasta Homo_sapiens.GRCh38.dna.primary_assembly.fa
--gtf Homo_sapiens.GRCh38.99.filtered.gtf
--mt_gene_list mt_gene_list.txt 2024-02-16 09:55:30,298 - celescope.rna.mkref.run - INFO - start... 2024-02-16 09:55:30,298 - celescope.rna.mkref.build_rna_star_index - INFO - start... STAR
--runMode genomeGenerate
--runThreadN 6
--genomeDir ./
--genomeFastaFiles Homo_sapiens.GRCh38.dna.primary_assembly.fa
--sjdbGTFfile Homo_sapiens.GRCh38.99.filtered.gtf
--sjdbOverhang 100
--genomeSAindexNbases 14 \
/root/miniconda3/envs/celescope/bin/STAR-avx2 --runMode genomeGenerate --runThreadN 6 --genomeDir ./ --genomeFastaFiles Homo_sapiens.GRCh38.dna.primary_assembly.fa --sjdbGTFfile Homo_sapiens.GRCh38.99.filtered.gtf --sjdbOverhang 100 --genomeSAindexNbases 14
STAR version: 2.7.11a compiled: 2023-09-15T02:58:53+0000 :/opt/conda/conda-bld/star_1694746407721/work/source
Feb 16 09:55:30 ..... started STAR run
Feb 16 09:55:30 ... starting to generate Genome files
Feb 16 09:56:14 ..... processing annotations GTF
Feb 16 09:56:40 ... starting to sort Suffix Array. This may take a long time...
Feb 16 09:56:48 ... sorting Suffix Array chunks and saving them to disk...
/root/miniconda3/envs/celescope/bin/STAR: line 8: 1222609 Killed "${cmd}" "$@"
Traceback (most recent call last):
File "/root/miniconda3/envs/celescope/bin/celescope", line 8, in
--runMode genomeGenerate
--runThreadN 6
--genomeDir ./
--genomeFastaFiles Homo_sapiens.GRCh38.dna.primary_assembly.fa
--sjdbGTFfile Homo_sapiens.GRCh38.99.filtered.gtf
--sjdbOverhang 100
--genomeSAindexNbases 14
' returned non-zero exit status 137.
An exit code of 137 usually means that the job was killed because it was using too much memory. It needs 32GB RAM to build the human genome index.
https://www.biostars.org/p/325468/
Thank you. Solved with a VM