nf-cast - the bioinformatics podcast

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. The episode was split into two parts: this first part surveyed current solutions, listen to episode 56 to check that out.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). 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.00:00 Welcome01:18 Nextflow language02:09 Inputs and outputs04:14 Streamlining sample sheet parsing07:47 Placement of params12:03 Sharing workflows14:09 Outputs20:04 Workflow ouputs to chain pipelines25:56 Publishing channels32:03 Schema34:37 Schema + pipeline chaining37:13 Piping pipelines41:20 Nextflow Lineage45:56 Conclusion and wrap-up

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

The Nextflow Podcast is back! After a brief hiatus, Phil Ewels returns with a comprehensive look at everything that happened in 2025 across the Nextflow ecosystem. Joining Phil for this year-in-review are Rob Syme (Scientific Support Lead), Marcel Ribeiro Dantas (Senior Developer Advocate), and Rob Newman (Product Manager Lead) from Seqera.In this episode, we cover:* Nextflow Language Evolution - The new syntax parser, VSCode extension with native language server support, nextflow lint and format commands, and the game-changing Lineage tracking feature for full data provenance. * Plugin Ecosystem - The new plugin registry at registry.nextflow.io, easier plugin development, and the complete AWS SDK v2 rewrite for dramatically improved S3 performance at scale.* Workflow Inputs and Outputs - How workflow outputs are replacing publishDir, typed parameters, and the foundations being laid for static types in Nextflow.* Seqera Platform Updates - The redesigned pipeline run details page, single-VM compute environments with 4-6x faster startup, Seqera Compute, Fusion Snapshots for spot instance resilience, Studios improvements, and Data Explorer S3 API support.* AI and Automation - Seqera AI developments, the MCP server for integrating with Claude/Cursor/Copilot, and Node-RED integration for pipeline chaining and automation.* Community Growth - nf-core tools releases, the syntax adoption roadmap, Nextflow Summits in Boston and Barcelona, the Ambassador program expanding to 40 countries, Training Weeks, and Seqera's Series B funding.Links mentioned in this episode:- Nextflow Plugin Registry: https://registry.nextflow.io- Node-RED Integration: https://seqera.io/blog/node-red/- Seqera MCP Server: https://seqera.io/blog/seqera-mcp/- nf-core Syntax Roadmap: https://nf-co.re/blog/2025/nextflow_syntax_nf-core_roadmap- Fusion Snapshots: https://seqera.io/blog/fusion-snapshotting/- Seqera Compute: https://seqera.io/blog/seqera-compute-public-preview/Subscribe to stay updated on all things Nextflow, and check out the full show notes at seqera.io/podcast00:00 Nextflow Podcast - Episode 53: 2025 Recap00:09 Welcome01:10 Introductions02:54 Nextflow Language Evolution03:44 Nextflow VSCode Extension06:47 Nextflow lint and format08:21 Nextflow Lineage12:33 Nextflow Plugin Registry17:29 AWS SDK v2 upgrade21:09 Workflow Inputs/Outputs and Static Types26:38 Seqera Platform: Pipeline Run Details29:57 Dynamic resource labels30:56 Pipeline versioning31:58 Pipeline Chaining with Node-RED35:07 Single VM Compute Environments39:14 Seqera Compute41:24 Fusion Snapshots44:32 Seqera AI49:03 Seqera MCP Server50:04 Data Explorer & s3 APIs51:24 Datasets52:54 Seqera Studios Updates56:56 Seqera company updates57:31 nf-core/tools updates58:41 Topics01:00:05 Syntax updates in nf-core01:00:55 Community growth01:03:43 Nextflow Summits and events01:05:00 Nextflow Ambassadors01:07:19 Training Weeks01:09:13 Wrap up

In Episode 51 of the Nextflow podcast, Phil Ewels and Ben Sherman discuss Nextflow's upcoming strict syntax - a significant evolution bringing clearer error messages and a more consistent language framework. They explore key changes including the separation of code from declarations, removal of for/while loops in favour of operators, and changes to type annotations. Learn how these improvements lay the groundwork for better developer experiences with features like static type checking and auto-formatting. The episode covers migration timelines, practical steps to prepare, and how these changes will ultimately lead to more robust, maintainable pipeline code. Check out the Nextflow docs for the "Updating Nextflow Syntax" guide to start preparing today.00:00 Podcast Ep51: Strict Syntax00:07 Welcome and introduction01:20 Language server background04:18 Syntax sugar is just empty calories06:50 Bespoke language syntax08:20 To DSL3 or not 2 DSL10:59 Nextflow versioning15:13 Diving into specifics16:08 Mixing statements with script declarations19:19 Better inspect command21:08 Custom Classes23:32 For loops, while and switch26:02 Standard library26:56 Type annotations28:49 addParams32:26 Process script section34:20 Moving into lib/36:36 Configuration syntax41:14 Relieving pressure from the config43:38 Timelines44:55 The gain for the pain47:54 Next steps48:43 Conclusion

Join host Phil Ewels in Episode 49 of the Nextflow Podcast as he interviews Dr. Olga Botvinnik, founder and CEO of Seanome. Olga discusses her journey from studying at MIT to founding her non-profit research institute focused on marine genomics. Discover her groundbreaking work in annotating unknown proteins and her efforts in collaborating with the Earth BioGenome Project.Olga also shares her experience with the Nextflow and nf-core communities, and her vision for developing tools to aid research in understudied ocean organisms.Join us as we chat about the vast potential of marine genomics and its applications.00:00 Podcast Episode 49: Olga Botvinnik / Seanome00:06 Welcome01:18 Olga's background07:30 Colonial tunicates09:38 Starting Seanome with Arctic clams11:07 Vision for Seanome12:46 Earth BioGenome Project13:46 Animal genomics not metagenomics14:53 Building nf-core/proteinannotator19:46 Software engineering in bioinformatics22:21 nf-core early days27:46 Bioinformatics Beyoncé30:50 Seanome future steps32:10 Final thoughts: Why the ocean34:19 Goodbyes

In episode 47 of The Nextflow Podcast, Phil Ewels and Ben Sherman discuss the launch of the new Nextflow language server, a significant upgrade providing advanced code intelligence features such as code completion and error hints for VS Code users. They detail the benefits of formalizing Nextflow as its own programming language, reducing reliance on Groovy, and improving error messages and code clarity. They also cover new documentation, plans for future features like type annotations, and encourage community feedback and adoption. Find the new docs here: https://www.nextflow.io/docs/latest/vscode.html 00:00 Podcast Ep 47 - Version 2 - VSCode Extension 00:09 Welcome and introductions 00:44 Podcast rebranding 01:29 Nextflow Summit announcements 02:48 Language server background 06:27 Nextflow as a programming language 09:58 Building a language server 14:12 VS Code interactions with the language server 15:22 VS Code demo 15:50 Errors + warnings tray 17:10 Errors: Level 0 20:00 Errors: Level 1 22:32 Errors: Level 2 23:02 To def or not to def 24:46 Variable references 25:34 Number of arguments 25:57 Hover hints on workflows and processes 26:19 Code navigation 26:52 Output hints 27:17 Code peeks 27:56 Getting help 28:29 Code formatting 30:25 Nextflow schema params 32:03 Future warnings 34:02 Preview DAG 34:54 Fixing new syntax errors 35:42 Config files 37:07 Updating the plugin 37:33 Roadmap: Type checking 38:55 Conclusion

In this episode of Channels, the Nextflow podcast, join us as we explore Nextflow and AI. Our special guest, Sasha from Seqera, shares his remarkable journey from the consumer tech industry to bioinformatics. Learn about the birth of TinyBio, its innovations in bioinformatics AI applications, and its recent acquisition by Seqera. We delve into AI concepts, the challenges faced, and the future of integrating AI with Nextflow. Tune in to discover how advancements in AI are reshaping the bioinformatics landscape. 00:00 Podcast 45: Tinybio : Nextflow x AI 00:09 Introduction 00:34 Sasha's background 03:17 How tinybio started 05:57 Tinybio co-founder: Vishal Patel 06:35 tinybio chat public launch 09:20 Failed feature launches 10:39 Running the code too 12:46 User trust 14:11 Accessing files via chat 15:08 Experiment idea generator 17:16 Pipeline generator 20:25 AI concepts: Foundational models 22:36 AI concepts: RAG 24:53 AI concepts: Langchain 26:37 AI concepts: Fine tuning 29:14 Challenges in bioinformatics AI 31:53 AI concepts: Q&A training 33:09 Motivation for joining Seqera 34:43 What happens to tinybio now? 35:36 Future plans 38:20 AI and open-source 40:50 Find more updates 41:37 Wrap up

In this episode we explore the new features of Seqera's Data Studios and Data Explorer, with Phil Ewels, Rob Newman and Rob Syme from Seqera. Discover how to use these tools for troubleshooting Nextflow pipelines, tertiary analysis and Nextflow development. We discuss the pain points that led to the creation of Data Studios and how it's designed to allow scientists to interactively and collaboratively work with data and complex workflows, without having to move large datasets around. Rob Syme wows us with another fantastic practical demonstration, setting up and using Data Studios to write and test a Nextflow pipeline in VSCode running on the cloud in a Data Studio environment, including running the Nextflow CLI with task submission to AWS Batch. We cover features like session persistence to save work states, and upcoming custom container support for your own specialized applications. Learn how these tools can enhance your computational biology projects and make seamless cloud integration a reality. 00:00 Channels Podcast 43: Data Studios 00:26 Introductions 01:54 Data Studios 04:51 Move the compute to the data 06:13 Real-time collaboration 06:47 Data Explorer 09:41 Access to public data 10:45 Data Explorer demo 13:56 Data Studios setup 20:17 Session persistance 22:52 Data Studios RStudio demo 28:24 Nextflow development in Data Studios 36:17 Future development 37:01 Custom containers 40:01 Boston Summit demo 44:01 Lifetime management 47:14 Wrap up

Join us in exploring the latest Nextflow release, 24.04. Phil Ewels and Ben Sherman dive deep into the new updates in Nextflow’s most recent version. We discuss advanced retry strategies, job arrays, resourceLimits, Singularity’s OCI mode, and the game-changing Workflow Output Definition. We’re actively seeking feedback from the community on these new features. We would love for you to experiment with the new syntax and let us know your thoughts. Please let us know what you think either via Nextflow GitHub issues or via the community forum. In this episode we refer to a the recent blog post about the release, which you can find here: Nextflow 24.04 - Release highlights. Intro - tweaks, fixes and new support in 24.04 Performance and Stability Improvements Ben kicks off the discussion with key performance and stability improvements. The latest stable release, 24.04, includes numerous bug fixes and performance enhancements. There’s a significant focus on closing gaps and adding retry strategies for better stability, especially concerning cloud providers. Notably, if Nextflow’s API calls against cloud providers fail for any server-side reason, it will retry automatically, avoiding pipeline failures caused by temporary server issues. Publishing Changes Previously, if a file failed to publish, Nextflow would only issue a warning. It was possible for a pipeline to complete successfully without noticing missing output files. Now, by default, Nextflow will fail the pipeline if the publishing fails, though there’s an option to revert to the old behavior. Additionally, retry strategies for publishing have been introduced to ensure retry attempts if an issue arises. Job Arrays One highly requested feature is the introduction of job arrays. This allows users to submit many jobs as a single submission, alleviating strain on schedulers. The submission happens in a batch, and then the scheduler can process and plan effectively. Once a job is submitted as part of a job array, the jobs run independently. If any child job fails, it is resubmitted without affecting the rest of the array. Singularity OCI mode and GA4GH TES In the past, Singularity supported Docker images by converting them into SIF files, consuming storage and time. Now, both Singularity and Apptainer can run OCI images directly, saving valuable resources. Additionally, the TES executor has seen significant improvements, now supporting TES 1.1, which brings broader compatibility and integration with existing workflows. Major new syntax features Topic Channels A new feature called topic channels offers a more straightforward approach to collecting channel outputs across pipelines. Channels can emit data to a named topic, simplifying the collection and use of version information from various processes within Nextflow pipelines. Eval Outputs Eval outputs simplify the addition of shell commands to tasks. With eval outputs, necessary post-task commands can be defined neatly, avoiding repetitive code within process definitions. Workflow Output Definition The concept of workflow output definitions has been introduced. This new syntax streamlines the publication of files by defining publish targets within workflows. Instead of defining publication behaviors within process definitions, users can now manage them at the workflow level, ensuring better clarity and fewer repetitions in the code.

Tune in to hear all about Pixelgen Technologies - creators of a novel technology for doing single-cell spatial proteomics. We chat about how this fascinating technology works, what you can do with the data and why they chose to develop their analysis suite as an open-source nf-core pipeline. Links: Software: nf-core/pixelator pipeline Pixelator Python package Science: Nature Methods publication: “Molecular pixelation: spatial proteomics of single cells by sequencing” Presentations: Nextflow Summit 2022 talk: “Pixelgen Technologies ❤︎ Nextflow” Nextflow Summit 2024 Boston talk: “Nextflow allows Pixelgen innovation engine to reach the market quicker” Nextflow Summit 2024 Barcelona Pixelgen: Pixelgen Technologies homepage @PixelgenTech on twitter / X and LinkedIn BioLizard: BioLizard homepage @BioLizard_nv on twitter / X and LinkedIn Chapters: Start (00:00) Welcome (00:09) Introductions (00:50) Intro to Pixelgen Technologies (01:41) Lab methods (03:08) Nature Methods publication (06:15) Data visualisation (09:35) Working with single cell data (12:29) Cell interactions (15:06) Why Pixelgen chose open source (16:05) Pixelator Python package (20:10) Building within nf-core (21:40) Florian - Biolizard (23:01) Pipeline overview (25:19) Using nf-core from a commercial setting (26:50) Coming out of stealth (28:53) Extending Pixelator (32:24) Dealing with customers (34:58) Looking to the future (39:38) Interactive analysis (41:32) Advice for others (43:12) Pixelgen at the Nextflow Summit (45:16)

Join us as we discuss the brand new @nf-core / EuroFaang pre-print! 🔥 We chat to some of the key authors, covering the background to the paper, the main messages and how EuroFAANG and nf-core have collaborated. 🧬 👩🏻‍🔬

This podcast episode is quite different to normal. Rather than an interview or a discussion, you'll get to watch as Ben Sherman guides Phil Ewels through the process of creating a new Nextflow Plugin from scratch. Right from the first line of code to creating a release and publishing the plugin. Nextflow plugins have been getting more attention lately and we've been getting a lot of questions in the community. There is better documentation and resources planned, but in the mean time we hope that this can be a useful guide for anyone curious in how they work, and interested in getting started. After this we will be back to our usual routine in the podcast, but we'd love to hear what you thought of this taster! 00:00:00 Welcome 00:03:27 Nextflow docs 00:08:34 Starting by forking nf-hello 00:10:32 Overview of project files 00:17:13 Trying a first compile 00:18:12 Different publishing methods 00:19:54 nf-boost local publish method 00:23:05 Trying the new compile 00:24:00 Running locally with the plugin 00:27:32 Looking at the nf-hello plugin code 00:39:29 Deleting files we don't need 00:42:34 Finding event names in the Nextflow source 00:47:46 Writing some custom functions 00:49:41 Testing our new code 00:51:51 Modifying the test pipeline to create files 00:54:14 Coding up the JSON output 00:59:20 Looking at nf-prov code for BCO files 01:05:30 Testing JSON output 01:09:39 Automatic work dir cleanup / nf-boost 01:12:17 Publishing a release on GitHub 01:19:07 Custom plugin repositories 01:26:47 Publishing for all Nextflow users 01:29:52 Conclusion and end

In this episode of the podcast, Geraldine and Ben talk about the Global Alliance for Genomics and Health (GA4GH) and its efforts to develop interoperability standards for pipelining infrastructure. If the words TES, WES, TRS and DRS are just as much alphabet soup to you, tune in to learn all about how organizations around the world are collaborating to streamline the process of sharing and analyzing data at scale.