splits a large fastq file in the /home/bwa_user/data volume into small subsets for parallel alignment
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This container application splits a large fastq file into smaller subsets of a specified number of reads for parallel alignment.
The input fastq file can be uncompressed, or compressed with zip or gzip. All subset fastq files are gzipped to save space.
The container requires a /home/bwa_user/data volume mounted to the container at run time, either with the -v or --volumes-from run flags. By using the /home/bwa_user/data directory, it is compatible with [dmlond/bwa_aligner][1].
You can run the application without arguments or a volume to get a list of commandline arguments. [1]: https://registry.hub.docker.com/u/dmlond/bwa_aligner/ "dmlond/bwa_aligner"
Content type
Image
Digest
sha256:cc26a456c…
Size
176.4 MB
Last updated
almost 11 years ago
docker pull dmlond/split_raw