I would like to seek your guidance on an issue. After running the aforementioned code, I did not obtain the expected predictions related to cgc predict results (such as PUL and synpdf). I am wondering if this issue might be related to the input file I used. I have attached my gff format file, which is the result of an output from the funnannotate software. Could you please advise me on how to modify or process my GFF file to meet the requirements of dbCAN?I am looking forward to your reply.
@Report
!/bin/bash
SBATCH -J NAMD
SBATCH -p batch
SBATCH -N 1
SBATCH --ntasks-per-node=32
source ~/miniconda3/etc/profile.d/conda.sh conda activate /public/home/lj/miniconda3/envs/dbcan
run_dbcan /public/home/lj/CazyDB/temp/qc/Saccharomycopsisproteins.faa protein --dbcan_thread 32 --tf_cpu 32 --stp_cpu 32 -c /public/home/lj/CazyDB/temp/qc/Saccharomycopsis.gff --cgc_substrate --hmm_cpu 32 --out_dir SF.PUL --dia_cpu 32 --db_dir /public/home/lj/CazyDB/db
Hello Professor,
I would like to seek your guidance on an issue. After running the aforementioned code, I did not obtain the expected predictions related to cgc predict results (such as PUL and synpdf). I am wondering if this issue might be related to the input file I used. I have attached my gff format file, which is the result of an output from the funnannotate software. Could you please advise me on how to modify or process my GFF file to meet the requirements of dbCAN?I am looking forward to your reply.
Best regards Panda-smile
1）gff文件（已做后缀修改，替换为txt）：Saccharomycopsis.txt
2）蛋白序列为：Saccharomycopsisproteinsfaa.txt
Version information
No response