I have both assembled contigs and sequencing reads from a sample. What should I set if I want to predict based on both point mutation and acquired AMR gene? What I used is:
python3 libs/resfinder/run_resfinder.py -ifq S5.fq.gz -o outputs/resfinder/S5_reads \
--min_cov 0.6 --threshold 0.8 --db_path_res_kma libs/resfinder/db_resfinder/kma_indexing \
-acq --point --db_path_point libs/resfinder/db_pointfinder -nano -s 'Escherichia coli'
For fastq input, or:
python3 libs/resfinder/run_resfinder.py -ifa S5.contigs.fasta -o outputs/S5_contigs \
--min_cov 0.6 --threshold 0.8 --db_path_res libs/resfinder/db_resfinder \
-acq --point --db_path_point libs/resfinder/db_pointfinder -nano -s 'Escherichia coli'
for fasta input.
Can I set -acq --point in together in one run like above?
And can/should I use both contigs and reads as inputs once?
I have both assembled contigs and sequencing reads from a sample. What should I set if I want to predict based on both point mutation and acquired AMR gene? What I used is:
python3 libs/resfinder/run_resfinder.py -ifq S5.fq.gz -o outputs/resfinder/S5_reads \ --min_cov 0.6 --threshold 0.8 --db_path_res_kma libs/resfinder/db_resfinder/kma_indexing \ -acq --point --db_path_point libs/resfinder/db_pointfinder -nano -s 'Escherichia coli'For fastq input, or:
python3 libs/resfinder/run_resfinder.py -ifa S5.contigs.fasta -o outputs/S5_contigs \ --min_cov 0.6 --threshold 0.8 --db_path_res libs/resfinder/db_resfinder \ -acq --point --db_path_point libs/resfinder/db_pointfinder -nano -s 'Escherichia coli'for fasta input.
Can I set
-acq --pointin together in one run like above?And can/should I use both contigs and reads as inputs once?