功能简介如下：
 谱图库构建
自带 Pulsar 搜索引擎，支持 DDA、DIA、PRM（含 MS1 信息）数据建高质量库；
支持外部搜索引擎包括：Proteome Discoverer、MaxQuant、ProteinPilot 及 Mascot 检索结果建库；
深度学习辅助 iRT 保留时间矫正、decoy 预测、Pulsar 打分，进一步提升肽段鉴定量；
 DIA 数据分析
支持谱图库依赖的 DIA 分析；
支持谱图库非依赖即 directDIA 分析 ；
计算机深度学习提升谱图为中心的 DIA 数据分析性能，directDIA+鉴定量显著提升（Version 17.0）与 SN16 相比，针对不同的采集类型，鉴定深度可提升 50%至 100%，并提供 FAST 和 DEEP 模式供用户选择；
 支持 Ion Mobility
完全兼容 PASEF，FAIMS Pro 和 HDMS2
改进了对保留时间和离子淌度的预测算法（Version 17.0）
支持 1F Slice dia-PASEF 数据分析（Version 17.0）
支持 PTM DIA 数据分析；
支持标记定量分析（不超过 3 个通道）。
 数据质控
依赖于 iRT kit 的数据质控模块，对 DIA 数据分析的同时针对质荷比、保留时间、信号强度等对 DIA
数据进行质控。
 SNE 整合
应对大数据集分析。可以将大数据集拆分成多个子数据集，分别进行数据分析并生成 SNE 文件，最后在 Pipeline 视图下将多个 SNE 文件合并，输出完整报告；
 统计及生物信息学分析
鉴定深度统计；
鉴定打分值统计；
样本变异系数分析；
样本相关性分析；
样本及蛋白聚类分析；
差异蛋白分析；
差异蛋白火山图；
蛋白 GO 功能注释及富集分析
 报告输出
报告内容全面；
支持报告的个性化制定。
Function overview is as follows:
• Spectral Library Construction
o Comes with the Pulsar search engine, supporting DDA, DIA, and PRM (including MS1 information) for building high-quality libraries;
o Supports external search engines, including Proteome Discoverer, MaxQuant, ProteinPilot, and Mascot search results for library construction;
o Deep learning-assisted iRT retention time correction, decoy prediction, and Pulsar scoring further enhance peptide identification quantity.
• DIA Data Analysis
o Supports DIA analysis based on spectral libraries;
o Supports non-library-dependent directDIA analysis;
o 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
o Fully compatible with PASEF, FAIMS Pro, and HDMS2;
o Improved algorithms for predicting retention time and ion mobility (Version 17.0);
o Supports 1F Slice dia-PASEF data analysis (Version 17.0);
o Supports PTM DIA data analysis;
o Supports label-free quantification analysis (up to 3 channels).
• Data Quality Control
o Data 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 Integration
o Addresses 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
o Identification depth statistics;
o Identification score statistics;
o Sample coefficient of variation analysis;
o Sample correlation analysis;
o Sample and protein clustering analysis;
o Differential protein analysis;
o Differential protein volcano plots;
o Protein GO functional annotation and enrichment analysis.
• Report Output
o Comprehensive report content;
o Supports personalized report customization.