Transform Protein Research with Scalable Precision

From experimental protein data to interactive exploration and scientific insights, Seqera enables faster, reproducible analysis at scale. Accelerate discovery. Engineer breakthroughs.

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Streamline Protein Analysis with Scalable Bioinformatics

Protein engineering is at the forefront of biomedical innovation, driving the development of novel therapeutics, enzymes, and biomaterials. From rational protein design to high-throughput structural analysis, Seqera provides the computational infrastructure and flexibility needed to accelerate and scale protein analysis workflows.

Protein structure prediction

Protein structure prediction

Quantitative mass spectrometry

Quantitative mass spectrometry

Peptidomics data processing

Peptidomics data processing

Label-free protein quantification

Label-free protein quantification

Epitope prediction analysis

Epitope prediction analysis

Ortholog comparative analysis

Ortholog comparative analysis

AI-driven structure modeling

AI-driven structure modeling

Proteome differential expression

Proteome differential expression

Why Seqera for Protein Research?

Seqera empowers researchers to accelerate computational protein engineering and analysis through automated workflows, scalable infrastructure, and built-in collaboration. Whether you’re predicting protein structures, screening protein sequences, or utilizing AI models, Seqera provides a centralized platform to orchestrate proteomics analysis at scale.

Scalable Protein Workflows

Scalable Protein Workflows

Run large-scale protein analyses without infrastructure constraints—dynamically scale up or down based on workload demands, without compromising cost or performance.

Run Protein Analysis Anywhere

Run Protein Analysis Anywhere

Whether you're screening thousands of variants or running molecular dynamics simulations, execute complex protein workflows on any cloud, on-premises, or hybrid environment with ease.

Collaborative Research, Unified Insights

Collaborative Research, Unified Insights

Break down silos by centralizing analysis, enabling real-time collaboration and cross-validation of findings for faster, more informed decisions across global teams.

Reliable Results, Every Run

Reliable Results, Every Run

Automate and standardize protein workflows with Nextflow and nf-core to ensure full reproducibility, traceability, and scientific rigor from development to production.

From the Creators of Nextflow

From the Creators of Nextflow

Access expert support from the team defining the Nextflow ecosystem—trusted partners who understand the demands of protein analysis and engineering at scale.

Built-In Compliance, Ready to Scale

Built-In Compliance, Ready to Scale

Confidently align with enterprise-grade security and governance standards while integrating seamlessly into your existing systems, laying the foundation for long-term growth.

How Seqera is Powering Protein Research

Seqera unifies data, tools, and compute into a single comprehensive platform, enabling scientists to run complex end-to-end protein analyses with ease. By streamlining workflows, Seqera reduces operational overhead, lowers compute costs, and provides the flexibility to perform scalable protein data analysis, from early discovery to clinical research.

Launch Protein Analysis in One Click

Get started instantly with trusted, community-curated Nextflow pipelines from the nf-core community, or bring your own.

nf-core/proteinfold

https://github.com/nf-core/proteinfold

Protein 3D structure prediction pipeline

Nextflowpipelinenf-core

nf-core/quantms

https://github.com/nf-core/quantms

Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.

openmsproteomics

nf-core/mhcquant

https://github.com/nf-core/mhcquant

Identify and quantify MHC eluted peptides from mass spectrometry raw data

nf-coreopenmsmhc

nf-core/metapep

https://github.com/nf-core/metapep

From metagenomes to epitopes and beyond

nextflowpipelinenf-core

nf-core/reportho

https://github.com/nf-core/reportho

nf-core pipeline for comparative analysis of ortholog predictions

seqeralabs/nf-chai

https://github.com/seqeralabs/nf-chai

A bioinformatics pipeline for running the Chai-1 protein prediction algorithm on an input set of protein sequences in FASTA format

protein-prediction

Discover real-world applications of Seqera

Explore applications of Nextflow and Seqera in protein research with these useful resources.

Trusted by 150+ Leading Organizations

From structural biology labs to biopharma innovators, researchers across the globe depend on Nextflow and Seqera to accelerate protein science. Whether it’s proteomics, target discovery, or enzyme design, Seqera provides the scalable infrastructure to power innovation at every stage of protein research.

Clinical Research

"Seqera makes it easy for research, clinicians, and stakeholders to collaborate during clinical trials."

Scale Your Protein Science TodayExplore how Seqera can transform your protein analysis workflows. Contact us for a demo or get started with a free trial today.