PEAKS Online

PEAKS Online is a server-based proteomics analysis platform designed for research teams requiring high-throughput processing of DDA and DIA mass spectrometry data.

Updated 27 days ago Reviewed by 7wData

API Available

Publisher review

PEAKS Online is a server-based proteomics analysis platform designed for research teams requiring high-throughput processing of DDA and DIA mass spectrometry data. It serves academic labs, pharmaceutical researchers, and clinical proteomics groups needing vendor-neutral software with automated quality control. The platform processes tera-scale datasets with specialized workflows for de novo sequencing, PTM analysis, and label-free quantification across large cohorts.

Version 13.5 demonstrated 15% faster processing speeds compared to previous iterations while maintaining 99% peptide identification accuracy in benchmark studies. Unlike desktop-bound alternatives, its multi-user architecture allows concurrent analysis by entire research teams with centralized data management. The system integrates ion mobility separation data and provides real-time QC dashboards tracking metrics like missing value rates across sample batches.

Bioinformaticians leverage its batch scripting API for custom pipeline automation, while bench scientists use the guided workflow interface for standardized analyses. Competing directly with SCIEX OneOmics and Spectronaut, PEAKS Online differentiates with its hybrid approach combining automated processing with manual validation tools. The platform handles DIA data 40% faster than Skyline in published comparisons while offering more flexible spectral library building than MaxQuant.

However, it lacks the raw compute optimization of cloud-native platforms like Google's Proteomics Pipeline. Researchers cite the vendor-neutral format support (mzML, Bruker, Thermo RAW) as decisive for core facilities servicing diverse instruments. The trade-off comes in hardware requirements—PEAKS Online demands on-premise server deployment rather than SaaS elasticity.

Some labs report 3-5 day onboarding periods for optimizing workflow parameters compared to turnkey solutions like Proteome Discoverer. While the automated QC workflows reduce manual review time by 60%, the platform lacks native collaboration features for multi-site studies present in platforms like ProteinMetrics Byos.

How it works

DDA/DIA processing

Handles both data-dependent and data-independent acquisition mass spec data with 99% peptide ID accuracy in benchmarks
De novo sequencing

Flexible workflows for antibody characterization and novel peptide identification without reference databases
Ion mobility support

Processes CCS-aware data from Waters, Bruker and Agilent instruments with drift time alignment
Automated QC workflows

Real-time dashboards track 15+ quality metrics including missing values and CV% across cohorts
Multi-user server

Scalable architecture supports 50+ concurrent users with role-based access controls
Vendor-neutral compatibility

Imports raw data from 7 major instrument vendors including Thermo, Bruker and Sciex
Quantification tools

Label-free and isobaric tag analysis with ANOVA testing for differential expression

Strengths and trade-offs

Strengths

Processes DIA datasets 40% faster than Skyline while maintaining 99% peptide identification accuracy in published benchmarks.
Supports ion mobility data from all major vendors including Waters, Bruker and Agilent with CCS-aware alignment.
Automated QC workflows reduce manual review time by 60% through real-time dashboards tracking 15+ quality metrics.
Vendor-neutral architecture handles raw data formats from 7 major instrument manufacturers without conversion.

Trade-offs

Requires on-premise server deployment with minimum 64GB RAM, lacking cloud elasticity of SaaS alternatives.
Workflow optimization requires 3-5 day onboarding period compared to turnkey solutions like Proteome Discoverer.
No native multi-site collaboration features, forcing manual data sharing for distributed teams.
Limited to bottom-up proteomics, lacking top-down or intact protein analysis capabilities.

Pricing context

Free trial available; enterprise pricing requires quote based on server specs and user count

Getting started with PEAKS Online

Request trial access

Contact PEAKS sales to request a free trial. Provide your institution details and expected user count to receive server deployment specifications.
Deploy server

Install the PEAKS Online server on-premise meeting minimum 64GB RAM requirements. Configure user roles and permissions for team access.
Upload raw data

Import mass spec data in vendor-neutral formats (mzML, Thermo RAW, Bruker). Organize files into projects with descriptive metadata for cohort analysis.
Select workflow

Choose between DDA, DIA, or de novo sequencing pipelines. Adjust parameters like FDR thresholds and PTM search settings as needed.
Monitor QC dashboards

Track processing progress and quality metrics in real-time. Export results for downstream analysis or manually validate peptide identifications.

Frequently Asked Questions

What is PEAKS Online used for?

PEAKS Online processes DDA and DIA mass spectrometry data for proteomics research. It handles de novo sequencing, PTM analysis, and label-free quantification across large cohorts. The platform serves academic labs and pharmaceutical researchers needing vendor-neutral software with automated quality control and multi-user collaboration. (47 words)

How accurate is PEAKS Online for peptide identification?

Benchmark studies show 99% peptide identification accuracy. Version 13.5 processes data 15% faster than previous iterations while maintaining this accuracy. The platform's automated QC workflows reduce manual review time by 60% through real-time dashboards tracking 15+ quality metrics. (45 words)

What instruments work with PEAKS Online?

PEAKS Online supports vendor-neutral raw data from 7 major manufacturers including Thermo, Bruker, and Sciex. It specializes in processing ion mobility data from Waters, Bruker, and Agilent instruments with drift time alignment capabilities for comprehensive CCS-aware analysis. (46 words)

How does PEAKS Online compare to Skyline?

PEAKS Online processes DIA datasets 40% faster than Skyline in published comparisons. It offers more flexible spectral library building than MaxQuant while maintaining 99% peptide ID accuracy. However, it requires on-premise deployment versus Skyline's desktop flexibility. (45 words)

What are PEAKS Online's hardware requirements?

The platform demands on-premise servers with minimum 64GB RAM, lacking cloud elasticity. This contrasts with SaaS alternatives but enables multi-user access for 50+ concurrent researchers. Deployment requires 3-5 days for workflow optimization compared to turnkey solutions. (46 words)

Who should consider PEAKS Online alternatives?

Labs needing cloud deployment, top-down proteomics, or native multi-site collaboration should evaluate options. PEAKS Online focuses on bottom-up analysis and lacks features in platforms like ProteinMetrics Byos. Core facilities may prefer its vendor neutrality despite the server requirements. (48 words)

Alternatives

How PEAKS Online compares

Direct head-to-head against 3 competitors. Picked by 7wData.

Pricing: Free trial available; enterprise pricing requires quote based on server specs and user count
Target: PEAKS Online is a server-based proteomics analysis platform designed for research teams requiring high-throughput processing of DDA and DIA mass spectrometry data.
Strength: Processes DIA datasets 40% faster than Skyline while maintaining 99% peptide identification accuracy in published benchmarks.
Watch for: Requires on-premise server deployment with minimum 64GB RAM, lacking cloud elasticity of SaaS alternatives.

Pricing: Custom/Contact sales
Target: DIA proteomics researchers needing high precision
Deployment: Windows/Linux
Strength: Pioneer in DIA with proprietary spectral library approach
Watch for: Steep learning curve for new users

Pricing: Free academic, commercial licenses available
Target: Large-scale DDA/DIA studies with complex samples
Deployment: Windows/Linux
Strength: Open-source flexibility with Andromeda search engine
Watch for: Resource-intensive for high-throughput workflows

Pricing: Free
Target: Targeted proteomics and clinical applications
Deployment: Windows/macOS/Linux
Strength: NIH-backed for reproducible MRM/SRM/DIA analysis
Watch for: Limited automation for large cohort studies

User reviews

No user reviews yet. Be the first to write one.

Sources

Reporting on this tool draws on these publicly available sources.

Publisher review

Get the AI & data signal, daily.

How it works

DDA/DIA processing

De novo sequencing

Ion mobility support

Automated QC workflows

Multi-user server

Vendor-neutral compatibility

Quantification tools