---
title: "Spectronaut 15更新介绍"
author: "omicsolution"
account: "omicsolution"
published_at: "2021-06-16T15:52:26+08:00"
captured_at: "2026-08-24T11:50:16.224903+08:00"
source_url: "https://mp.weixin.qq.com/s?__biz=MzI2MTI5NDAzNg==&mid=100002267&idx=1&sn=a1e82d31c6c025cc36bdb980adf2a4e2&chksm=6a5ddb605d2a52760b95f28a94d440d2ad539c94c3a9773fcf8ada0d23b845005d9c1d5dfcb6#rd"
---

# Spectronaut 15更新介绍
![图片 1](images/001.png)

Spectronaut 15 带着众多性能改进、功能更新于6月15日晚正式发布。在新一代深度学习算法的加持下，DIA数据分析的性能和DDA的差距进一步扩大。

新版本详细介绍视频（中文校正版）：

Mann课题组单细胞DIAPASEF介绍（中文自动翻译）及Q&A：

Spectronaut 15 主要更新内容如下

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定性能力提升： 谱图库DIA和directDIA结果均有明显提升

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定量改进：整合MaxLFQ算法，提升定量准确性

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全面的PTM分析功能：PTM位点分析全面升级，你想要的都有了

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改善用户体验：增加大量DIA数据可视化功能

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深度学习：改进机器学习算法显著提升免疫多肽和离子淌度数据分析能力

定性能力提升

相对于Spectronaut14来说，新版本在显著提升了DIA-PASEF数据的定性能力，基于谱图库或directDIA均有15-30%的提升。非DIA-PASEF数据实现了5%-20%的提升。

提升灵敏度的同时，SN15引入基于单个run的FDR控制算法，能够大显著改进FDR的准确性同时不牺牲灵敏度。

![图片 2](images/002.png)

定量改进

DIA分析的核心痛点是定量的准确性。Spectronaut15中加入了MaxLFQ算法，在CV不变的情况下，进一步提升了可定量的母离子比例。

![图片 3](images/003.png)

全面的PTM分析功能

PTM定量分析，位点置信度及位点定量分析是目前蛋白质组学中的核心关切点，而大部分分析软件都依赖于研究者自行进行位点拆分、定量和解读。

SN15的PTM专属分析流程为您带来一键式的位点置信度、定量、差异分析功能，同时全部支持可视化查看，为您的修饰定量插上翅膀。

相关详细介绍可以参考官方简介视频：

DIA数据可视化改进

对于商业化数据分析软件来说，可视化界面的使用体验是其相对于免费软件的重要优势之一。

在SN15中，我们加入了全新的以蛋白为核心的结果查看、差异展示和离子淌度可视化界面。

详细用户界面改进参见官方视频介绍：

Spectronaut用户请连接上互联网后点击About界面自行更新。

如需进一步帮助欢迎和我们联系。

详细更新日志：

More Identifications

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Improved identification with new scores, especially for short gradients

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Up to 35% more precursor identifications for directDIA with diaPASEF

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Up to 10% more precursor identifications for directDIA in general

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Up to 30% more precursor identifications for short gradient DIA analysis with library

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Up to 10% more precursor identifications for DIA analysis with library in general

Accurate Quantification

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Improved default settings for quantification

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New MaxLFQ based protein quantification

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Up to 15% more protein identifications with CVs below 10% in controlled quantitative experiments

Improved Ion Mobility Support

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Ion Mobilogram visualization for dia-PASEF

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Ion Mobilogram based manual peak refinement

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Up to 30% faster processing of dia-PASEF data

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Added optimal support for high-sensitive py5 dia-PASEF method

General DIA Analysis

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New Run-wise protein FDR calculation and filtering

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New peptide posterior error probability (PEP) filtering

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Improved flexibility for directDIA search settings

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Improved multi-channel quantity summarization

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Command line support for SNECombine workflow

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New “Method Evaluation” workflow with directDIA

Comprehensive PTM Analysis

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Site collapse calculation

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Site regulation analysis

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Modification specific normalization filter for enrichment workflows

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New PTM site report

Pulsar Database Search Engine

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Improved performance for large protein databases (> 2 GB) with Pulsar

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Improved identification and performance for unspecific searches

Deep-learning Augmented Improvements

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Prediction for ion mobility (1/K0) during library generation

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Improved fragment prediction for unspecific peptides

New Post Analysis Feature s

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Added PCA analysis

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Added custom selection for protein rank plot

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Added custom selection for volcano plots

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New PTM Analysis node

Improved User Experience and Visualization

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Improved Protein Coverage plot

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PTM support

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Peptide tooltip and highlighting

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New sub-perspective “Protein Grid View” in the analysis perspective

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Improved XIC Alignment plots with support for unlimited number of runs

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Detachable perspective and plots for side-by-side visualization

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Improved XIC grid overview plots

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One-Click tree navigation in plots

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Improved plot and tree filter selection

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Quick-Action bar for analysis perspective

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Improved warning messages with actionable links

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Improved UI for analysis log

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Updated Analysis Summary plot for easier access

Other Changes

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Report Perspective Changes

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New PTM site level report when performing PTM localizationPage

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DIA Analysis Settings Changes

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Default row filtering for quantification changed from Q-value to Q-value Sparse

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Default quantification strategy changed from Quant 2.0 to Auto, where it will use MaxLFQ if analyzing less than 500 runs

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Default normalization strategy changed from Global Normalization to Auto, where it will use Local Normalization if analyzing less than 500 runs

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New PTM workflow node in the setting

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directDIA Analysis Settings Changes:

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New Method Evaluation setting in directDIA settings → Workflow → Method Evaluation

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Distinguish between Pulsar and DIA analysis settings for directDIA for more flexibility

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