The Seqera Blog

From Data to Analysis, Faster: What's New in Seqera Platform

This Seqera Platform release brings updates across every stage of the data journey, from the moment data lands, through pipeline runs and data access, to the analysis of results.

Drew DiPalma

What's New in Nextflow 26.10: Type Checking, Workflow Modules, Pipeline Composition, Agent Primitive

We're thrilled to announce the release of Nextflow 26.10. This release is the culmination of the language work we've been delivering over the past year.

Ben Sherman

NextflowSeqera

Nextflow Global Cache: Compute Once, Reuse Everywhere

Today we're announcing Nextflow Global Cache: a shared caching layer that lets tasks be reused across runs, across pipelines, and across projects.

Phil Ewels

Making Agentic Data Analysis Reproducible and Scalable with Nextflow

Nextflow now has an agent construct: a pipeline step where an AI model decides at runtime which actions to take. Agent steps run under the same engine, and with the same guarantees, as every other step in the pipeline.

Paolo Di Tommaso

Benchmarking Seqera Intelligent Compute on AWS, Azure and Google Cloud: nf-core Pipeline Results

We comparing Intelligent Compute with Azure Batch and Google Cloud Batch across seven nf-core pipelines: rnaseq, sarek, atacseq, chipseq, nanoseq, and viralrecon.

Michael Tansini

Co-Scientist Agents: Optimize, Execute, and Automate Bioinformatics at Scale

Co-Scientist Agents are reusable instructions that Seqera Co-Scientist runs on your behalf. Agents turn the tasks your team repeats, like debugging failed runs or reading QC reports, into work that runs automatically or at the click of a button, always within the permissions you set.

Sasha Dagayev

Oct 13, 2026

Bridging the Wet Lab and Dry Lab with Benchling and Seqera Platform

Bench scientists can now launch and track Nextflow pipelines, investigate results, and spin up interactive analysis environments on Seqera Platform, all without leaving Benchling

Rob Newman

Oct 09, 2026

Building a Bioinformatics Factory You Can Trust with Seqera Co-Scientist

The blog post is a write up of our September 2026 webinar: “Building for Bioinformatics in 2030 with Seqera Co-Scientist”. Watch now to discover how Co-Scientist is putting organizations at the forefront of AI-driven bioinformatics.

Lizzie Bolitho

Oct 05, 2026

Adam Talbot & Jon Manning

Unilever SERS Collaboration: A Nextflow Pipeline for BIPODE Analysis of High Throughput Transcriptomics Data

A recent paper in Computational Toxicology, the product of a collaboration between Seqera and Unilever's Safety, Environmental and Regulatory Science group team, is an example of real-worl impact of Seqera.

Sep 01, 2026

NextflowSeqera

Debugging Misconfigured Nextflow Jobs on AWS Batch

If you've ever kicked off a Nextflow pipeline, stepped away for fifteen minutes, and come back to find your jobs exactly where you’ve left them, this blog post is for you.

Rashmi Naidu

Jul 23, 2026

NextflowCommunity

From Confused to Contributing: My First nf-core PR Journey

What I learned adding DIAMOND-blastp to proteinannotator and what I wish I'd known beforehand. If you're a bioinformatics student thinking about making your first nf-core contribution, this is the post I wish I'd had.

Jimmy Lail

Jul 10, 2026

Build, Launch, Automate: Scaling Enterprise Bioinformatics with Seqera Co-Scientist

Seqera Co-Scientist is the collaborative agent that brings the power of Seqera Platform’s secure, reproducible engine to every scientist. Last month, we hosted a webinar showing exactly what that means in practice, covering how Co-Scientist helps teams:

Lizzie Bolitho

Jul 08, 2026

Running Until: Iterative Loops in Nextflow

Nextflow can express iterative loops with a topic channel and an until check. Here's how to make a process feed on its own output, no recursion needed.

Rob Syme

Jul 06, 2026

Pipeline Storage: Stop Comparing Price per TB

What used to be a simple fixed cost for a shared server is now a bewildering set of options where everything is a choice. Spend more upfront and trade away flexibility, reduce the up front costs and hope dynamic pricing doesn’t get you.

Adam Talbot & Phil Ewels

Jun 30, 2026