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.
Popular Seqera and Python Triggers#
Emit new event when a new run is created in Seqera. See the documentation
Popular Seqera and Python Actions#
Creates a new compute environment in Seqera Tower. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a new pipeline action in Seqera. See the documentation
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#
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#
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}}