Nf Core Hpc Shared nf core configs. if you use a shared system with other people (such as a hpc or institutional server), it is best to use a configuration profile from nf core configs. these are shared config profiles loaded by all nf core pipelines at run time. Browse the 126 configs that are currently available as part of nf core. the following configs are common nextflow pipeline configurations and options for particular institutional clusters or compute environments. name.
A Schematic Design For The Facile Preparation Of Nfвђђhpc B Optical All nf core pipelines have been successfully configured for use on the camp hpc cluster at the the francis crick institute. to use, run the pipeline with profile crick. this will download and launch the crick.config which has been pre configured with a setup suitable for the camp hpc cluster. using this profile, a docker image containing all. Second, while nf core pipelines are designed for general usability, they often require customization to fit the unique demands of specialized hpc environments and resource management systems. this customization is known as an "institutional profile" in nf core's terminology. Run a nf core pipeline (nf core bactmap) using a test dataset on a high performance computing (hpc) environment. what is nf core? nf core is a community effort to create a set of best practice pipelines built using nextflow. Download and run the workflow using minimal data provided by nf core rnaseq. we recommend using singularity as the profile for qut’s hpc. another profile option can be ‘conda.’ note: the profile option ‘docker’ is unavailable on the hpc.
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