Spectronaut软件

型号:

Spectronaut 19

地点:

132, 1F, E4

仪器介绍

Spectronaut 是一款进行 DIA(Data-independent acquisition,数据非依赖采集)数据分析的商业化软件,为 DIA 数据的分析提供完整的解决方案,包括谱图库构建、数据质控、蛋白定量、统计分析、GO 富集等。可实现大规模实验的快速分析,最多可实现高达 10,000 个 run 的分析。具有良好的交互体验,便于初学者上手,行业深耕者也可按需优化各项设置,达到分析目的,实现数据高质解析。

参数

Spectral library construction• Comes with the Pulsar search engine, supporting DDA, DIA, and PRM (including MS1 information) for building high-quality libraries;
• Supports external search engines, including Proteome Discoverer, MaxQuant, ProteinPilot, and Mascot search results for library construction;
• Deep learning-assisted iRT retention time correction, decoy prediction, and Pulsar scoring further enhance peptide identification quantity.
DIA data analysis• Supports DIA analysis based on spectral libraries;
• Supports non-library-dependent directDIA analysis;
• Computer deep learning enhances spectral-centered DIA data analysis performance, with directDIA+ identification quantity significantly improved (Version 17.0). Compared to SN16, identification depth can increase by 50% to 100% for different acquisition types, and offers FAST and DEEP modes for user selection.
Support for ion mobility• Fully compatible with PASEF, FAIMS Pro, and HDMS2:
• Improved algorithms for predicting retention time and ion mobility (Version 17.0);
• Supports 1F Slice dia-PASEF data analysis (Version 17.0);
• Supports PTM DIA data analysis;
• Supports label-free quantification analysis (up to 3 channels).
Data quality controlData quality control module reliant on iRT kit, performing quality control on DIA data analysis regarding mass-to-charge ratio, retention time, signal intensity, etc.
SNE integrationAddresses large dataset analysis. Allows splitting large datasets into multiple sub-datasets for individual analysis and generating SNE files, which can then be merged in the Pipeline view to output a comprehensive report.
Statistical and bioinformatics analysis• Identification depth statistics;
• Identification score statistics;
• Sample coefficient of variation analysis;
• Sample correlation analysis;
• Sample and protein clustering analysis;
• Differential protein analysis;
• Differential protein volcano plots;
• Protein GO functional annotation and enrichment analysis.
Report output• Comprehensive report content;
• Supports personalized report customization.

手册

Spectronaut 19_Brochure_EN