A LibTorch basecaller for Oxford Nanopore Technologies sequencing data
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Dorado is a high-performance, easy-to-use, open source basecaller for Oxford Nanopore reads.
Please refer to the dorado GitHub page for basic information regarding running dorado.
The docker images are built on top of the official nvidia/cuda images. They are suitable to be run on any host computer with a recent NVIDIA GPU driver and the NVIDIA Container Toolkit.
The images contain basecaller configurations (models and meta information) within the container. The command list-models can be used to list the available options:
$ docker run nanoporetech/dorado list-models
/models/[email protected]
/models/[email protected]_5mCG@v2
/models/[email protected]
/models/[email protected]_5mCG@v2
/models/[email protected]
/models/[email protected]_5mCG@v2
/models/[email protected]
/models/[email protected]_5mCG@v2
/models/[email protected]
/models/[email protected]_5mCG@v2
/models/[email protected]
/models/[email protected]
/models/[email protected]_5mCG@v0
/models/[email protected]
/models/[email protected]_5mCG@v0
/models/[email protected]
/models/[email protected]_5mCG@v0
To run basecalling follow the normal instructions for running dorado, e.g.:
docker run \
--gpus 1 \
-v $PWD:$PWD \
nanoporetech/dorado \
dorado basecaller "/models/[email protected]" $PWD/fast5/ \
> output.sam
Dorado is distributed under the Oxford Nanopore Technologies PLC. Public License Version 1.0, a copy of which can be found in the source repository.
Content type
Image
Digest
sha256:832c99585…
Size
9.3 GB
Last updated
about 2 months ago
docker pull nanoporetech/dorado