Nextflow is the leading workflow orchestrator for bioinformaticians, data scientists, and professionals in computational biology and genetics. Stay informed with the latest updates, expert interviews, and insights from the Nextflow ecosystem with The Nextflow Podcast, by Seqera. Follow us on Twitter @nextflowio and YouTube @Nextflow.

Channels - the nextflow podcast
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Podcast Overview
Nextflow is the leading workflow orchestrator for bioinformaticians, data scientists, and professionals in computational biology and genetics. Stay informed with the latest updates, expert interviews, and insights from the Nextflow ecosystem with The Nextflow Podcast, by Seqera. Follow us on Twitter @nextflowio and YouTube @Nextflow.
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Publishing Since
3/2/2021
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Recent Episodes

March 16, 2026
Episode 57: Pipeline chaining, meta pipelines and automation (Part 2 of 2)
<p>In episode 57 (March 2026), Phil is joined by Edmund Miller and Ben Sherman to discuss how recent and upcoming Nextflow language changes can make pipeline chaining and meta pipelines easier. </p><p>The episode was split into two parts: this first part surveyed current solutions, listen to episode 56 to check that out.</p><p>In this episode we focus on defining workflow “contracts” through clearer inputs (typed params in Nextflow 25.10 and proposed record types, including streamlined sample sheet/record ingestion from CSV/JSON/YAML or queries) and clearer outputs (workflow outputs leaving preview in 25.10, adding an entry-workflow publish section and an output block to publish channels, route files, and serialize channel contents into JSON/CSV/YAML index files). </p><p>We discuss reducing direct params access inside modules, using records to pass validated param bundles, generating/leveraging nextflow_schema.json for external tooling like Seqera Platform to validate chains, exploring glue pipelines, command-line piping of Nextflow runs, and how lineage IDs could support more data-centric, automated workflows.</p><p>00:00 Welcome</p><p>01:18 Nextflow language</p><p>02:09 Inputs and outputs</p><p>04:14 Streamlining sample sheet parsing</p><p>07:47 Placement of params</p><p>12:03 Sharing workflows</p><p>14:09 Outputs</p><p>20:04 Workflow ouputs to chain pipelines</p><p>25:56 Publishing channels</p><p>32:03 Schema</p><p>34:37 Schema + pipeline chaining</p><p>37:13 Piping pipelines</p><p>41:20 Nextflow Lineage</p><p>45:56 Conclusion and wrap-up</p>

March 2, 2026
Episode 56: Pipeline chaining, meta pipelines and automation (Part 1 of 2)
<p>Episode 56 of The Nextflow Podcast (March 2026) focuses on pipeline chaining and meta pipelines in Nextflow, with guests Ben Sherman and Edmund Miller. </p><p><br></p><p>The episode was split into two parts: this first part surveys current solutions, while part two will cover future Nextflow language changes. </p><p><br></p><p>The discussion defines meta pipelines as importing pipelines (e.g., nf-core/rnaseq) as subworkflows to form one DAG with parallelization and full resume, versus pipeline chaining using external orchestration to run Pipeline A then feed outputs to Pipeline B. They cover obstacles to meta pipelines in nf-core, including tooling, parameter/config clashes, and tight coupling of pipeline code and configuration. Current chaining approaches include bash/Makefiles, Python, Seqera Platform APIs, nf-cascade (running Nextflow inside Nextflow), wrapping Nextflow with Snakemake, and automation/orchestration tools like Node-RED, n8n, Dagster, and Temporal, including event-driven patterns on AWS.</p><p><br></p><p>00:00 Nextflow Podcast, Episode 56</p><p>00:08 Welcome</p><p>01:42 Introduction to meta pipelines and pipeline chaining</p><p>05:01 What makes importing pipelines difficult?</p><p>06:55 CLI tooling to import pipelines</p><p>09:13 Overlapping config scopes</p><p>10:53 Subworkflows or pipelines?</p><p>12:38 Pipeline chaining</p><p>13:36 nf-cascade</p><p>16:42 Nextflow in Snakemake</p><p>22:26 Automating Nextflow runs</p><p>24:10 Event-driven bioinformatics</p><p>26:32 Node-RED + Seqera</p><p>30:40 Node-RED flexibility</p><p>33:45 Glue code</p><p>35:31 Other automation frameworks</p><p>37:02 Bioinformatics pipelines vs. ETL workflows</p><p>38:56 Tangent: What makes Nextflow special</p><p>44:11 Dagster automation demo</p><p>47:29 Temporal automation demo</p><p>51:13 Wrap up</p>

February 16, 2026
Episode 55: Terraform & Seqera
<p>In episode 55 of the Nextflow podcast (February 2026), Phil Ewels is joined by Adam Talbot and Ken Brewer to discuss a new Seqera project: using Terraform to manage Seqera Platform configuration as infrastructure as code. They cover why reproducible, reliable infrastructure matters alongside portable Nextflow pipelines, and how Terraform helps reduce “click ops,” provide version control, prevent drift, and support change control via plan/apply workflows and pull requests.The conversation introduces Terraform concepts and highlights use cases such as deploying many workspaces at scale (e.g., universities), regulated clinical environments with approvals, integrating Seqera with existing enterprise Terraform workflows, benchmarking and iterating cloud infrastructure, and managing dev/staging/prod via variables.https://github.com/seqeralabs/terraform-provider-seqera</p>
57 total episodes available
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