Seqera

One platform for scientific data analysis.

Integrate the Seqera API with the Python API

Setup the Seqera API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Seqera and Python remarkably fast. Free for developers.

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Run Python Code with Python API on New Run Created from Seqera API
Seqera + Python
 
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New Run Created from the Seqera API

Emit new event when a new run is created in Seqera. See the documentation

 
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Create Compute Environment with the Seqera API

Creates a new compute environment in Seqera Tower. See the documentation

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Create Pipeline with the Seqera API

Creates a new pipeline in a user context. See the documentation

 
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Create Pipeline Action with the Seqera API

Creates a new pipeline action in Seqera. See the documentation

 
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Overview of Seqera

The Seqera API serves as a connection point for handling complex data pipeline and workflow orchestration tasks within the life sciences domain. With this API, you can manage workflows, monitor pipeline executions, and control job submissions. Leveraging Pipedream, you can seamlessly integrate Seqera with various services to automate processes, react to pipeline events, or synchronize data across platforms, thus enhancing efficiency in bioinformatics analysis.

Connect Seqera

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    seqera: {
      type: "app",
      app: "seqera",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.tower.nf/user-info`,
      headers: {
        Authorization: `Bearer ${this.seqera.$auth.api_token}`,
      },
    })
  },
})

Overview of Python

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo