Clean and Reproducible Computational Projects with Nextflow
Keeping any moderately complicated computational project organized is a legitimate challenge. A record of exactly which inputs, parameters, and software were used to generate a particular output file is often lost which makes reanalysis with new data, new parameters or new software difficult.
In this workshop, we'll learn how to tame some of the logistical complexity that so often besets computational projects in biology. Using Nextflow, we'll write our own pipeline that can be seamlessly moved between laptop, HPC and the cloud.
Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages. Its fluent DSL simplifies the implementation and the deployment of complex parallel and reactive workflows on clouds and clusters.
This workshop is open to everyone, but space is limited.
Instructor: Rob Syme
Fee: $25 (seating is limited)
*Reimbursement is available to McGill students after attending the workshop.
To Register: via Eventbrite
For more information on workshops email us at: workshop-micm [at] mcgill.ca (subject: Workshop)