Agilent G2721AA/G2733AA Spectrum Mill MS Proteomics Workbench - Quick Start Guide
Manuals | 2016 | Agilent TechnologiesInstrumentation
The processing of large-scale MS/MS and MS-only datasets in proteomics can demand hours or days of manual effort. The Spectrum Mill workbench automates spectral preprocessing, database searching, validation, and review to deliver protein and peptide identifications with relative quantitation in minutes. Its high-throughput capabilities support discovery proteomics, differential expression studies, post-translational modification mapping, and de novo sequencing, making it a critical tool for research and industrial laboratories.
This Quick Start Guide for version B.06.00 introduces the Spectrum Mill MS Proteomics Workbench: installing and configuring the server-client environment, transferring spectral files, launching the software, and executing both normal and iterative workflows. It highlights new features in B.06.00, outlines common processing modules, and explains how to automate routine tasks.
The Spectrum Mill workbench runs on a 64-bit Windows server with Internet Information Services and is accessed via Internet Explorer 11. Core processing modules include:
Key system requirements and supported components:
B.06.00 delivers performance gains and new capabilities:
Automated high-throughput workflows reduce manual intervention, increase reproducibility, and accelerate time to results. Spectrum Mill enables large-scale proteome profiling, differential expression quantitation (including isotopic and label-free approaches), discovery of PTMs and mutations, de novo peptide sequencing, and multi-sample comparisons, serving research, QA/QC, and industrial analytics.
Emerging directions include cloud and container deployment for scalable computing, integration of machine learning for automated spectral interpretation, support for next-generation instruments (e.g., new ion mobility platforms), single-cell proteomics workflows, and expanded multi-omics data integration to deepen biological insights.
Agilent Spectrum Mill MS Proteomics Workbench B.06.00 provides a robust, extensible platform for end-to-end proteomic data analysis. Its enhanced performance, modular automation, and broad format support empower laboratories to achieve high throughput, reliable identifications, and comprehensive quantitative insights.
No additional references were provided in the source document.
Software
IndustriesManufacturerAgilent Technologies
Summary
Significance of the Spectrum Mill MS Proteomics Workbench
The processing of large-scale MS/MS and MS-only datasets in proteomics can demand hours or days of manual effort. The Spectrum Mill workbench automates spectral preprocessing, database searching, validation, and review to deliver protein and peptide identifications with relative quantitation in minutes. Its high-throughput capabilities support discovery proteomics, differential expression studies, post-translational modification mapping, and de novo sequencing, making it a critical tool for research and industrial laboratories.
Goals and Overview of the Quick Start Guide
This Quick Start Guide for version B.06.00 introduces the Spectrum Mill MS Proteomics Workbench: installing and configuring the server-client environment, transferring spectral files, launching the software, and executing both normal and iterative workflows. It highlights new features in B.06.00, outlines common processing modules, and explains how to automate routine tasks.
Methodology and Software Architecture
The Spectrum Mill workbench runs on a 64-bit Windows server with Internet Information Services and is accessed via Internet Explorer 11. Core processing modules include:
- Data Extractor: spectral preprocessing, quality filtering, charge-state assignment, and format conversion.
- MS/MS Search & Manual PMF Search: high-speed database searches for MS/MS and MS-only spectra.
- Autovalidation: automated false discovery rate filtering at peptide and protein levels.
- Protein/Peptide Summary & PMF Summary: interactive review, filtering, and export of results.
- Quality Metrics & FDR: enhanced scoring, FDR estimation, and quality metric reports.
- Spectrum Matcher & de novo Sequencing: specialized tools for spectral interpretation and peptide sequencing.
Used Instrumentation and Software Requirements
Key system requirements and supported components:
- 64-bit Windows Server 2016, 2012 R2, or Windows 10/7 with ≥16 GB RAM (24–32 GB recommended) and 1–2 TB disk.
- ActiveState Perl 5.18.4; Java JRE 1.8u111 (install both 32- and 64-bit versions).
- IIS installed and configured before workbench installation.
- Internet Explorer 11 (Compatibility View disabled).
- Thermo MSFileReader 64-bit for .raw file support; optional generic extractors for mzXML and PKL.
Main Enhancements in Version B.06.00
B.06.00 delivers performance gains and new capabilities:
- Two- to five-fold faster MS/MS searches; concatenated search output files reduce file counts and speed archiving.
- New spectral quality filters (precursor isotope quality, isolation purity) and adjustable peptide length thresholds.
- Support for HLA peptide motifs, half-enzyme digests C→N, and default exclusion of peptides <5 aa.
- Restored Spectrum Matcher with additional quality filters; advanced FDR fixes for more accurate discovery rates.
- FASTA database concatenation tools; updated support for NCBI GenBank headers and gb accessions.
- TMT 10-plex reporter ion correction factor support; retention of correction factors across searches.
- Ion mobility data support: drift time (DT) and collision cross section (CCS) reporting in summaries and exports.
- Expanded data extractors: Thermo Fusion/Lumos .raw, appended PKL with RT/DT/CCS, mzXML conversion for Skyline import.
Benefits and Practical Applications
Automated high-throughput workflows reduce manual intervention, increase reproducibility, and accelerate time to results. Spectrum Mill enables large-scale proteome profiling, differential expression quantitation (including isotopic and label-free approaches), discovery of PTMs and mutations, de novo peptide sequencing, and multi-sample comparisons, serving research, QA/QC, and industrial analytics.
Future Trends and Opportunities
Emerging directions include cloud and container deployment for scalable computing, integration of machine learning for automated spectral interpretation, support for next-generation instruments (e.g., new ion mobility platforms), single-cell proteomics workflows, and expanded multi-omics data integration to deepen biological insights.
Conclusion
Agilent Spectrum Mill MS Proteomics Workbench B.06.00 provides a robust, extensible platform for end-to-end proteomic data analysis. Its enhanced performance, modular automation, and broad format support empower laboratories to achieve high throughput, reliable identifications, and comprehensive quantitative insights.
References
No additional references were provided in the source document.
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