Kraken taxonomic sequence classifier with 4gb/8gb minikraken database.
362
This image implements:
and the Dockerfiles can be found on github.
Get test data:
mkdir -p data
cd data
# Download test data
wget -nv --no-check-certificate \
https://github.com/nf-core/test-datasets/raw/mag/test_data/test_minigut_R1.fastq.gz
wget -nv --no-check-certificate \
https://github.com/nf-core/test-datasets/raw/mag/test_data/test_minigut_R2.fastq.gz
Run Kraken:
# Set database to minikraken database
database="/kraken-database"
# Get number of CPUs
NUM_CPUS=$(grep "processor" /proc/cpuinfo | wc -l)
# Run kraken
kraken \
--db ${database} \
--threads ${NUM_CPUS} \
--fastq-input \
--gzip-compressed \
test_minigut_R1.fastq.gz test_minigut_R2.fastq.gz \
> kraken.output
Run Kraken-Report:
kraken-report \
--db ${database} \
kraken.output \
> kraken.tab 2>&1 | tr '^M' '\n' 1>&2
Content type
Image
Digest
sha256:b5ab4b75f…
Size
185.9 MB
Last updated
almost 3 years ago
docker pull gregorysprenger/kraken:v1.1.1