> For the complete documentation index, see [llms.txt](https://igb.mit.edu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://igb.mit.edu/computing-resources/seqera-platform-cloud.md). # Seqera Platform Cloud The Seqera Platform Cloud is a service to transparently handle submitting Nextflow pipelines to multiple computing platforms, whether that be Amazon Web Services (AWS), Google Cloud Platform (GCP), or an institute's High-Performance Compute (HPC) cluster. The Data Science and Multimodal Integration (DSMI) core has an instance of the Seqera Platform Cloud that is configured for use on the Engaging cluster. The DSMI's instance of Seqera includes pipelines such as [`rnaseq`](https://nf-co.re/rnaseq/3.22.2/) , [`scrnaseq`](https://nf-co.re/scrnaseq/4.1.0/), and [`sarek`](https://nf-co.re/sarek/3.7.1/). More pipelines will be added as users present the need for them. If a pipeline is not available, you can "quick launch" a run that uses your desired Nextflow pipeline. Instructions on how to do this and use Seqera in general are available in the following pages. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://igb.mit.edu/computing-resources/seqera-platform-cloud.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.