PatternLab for proteomics

PatternLab for Proteomics is an integrated computational environment for analyzing shotgun proteomic data. PatternLab contains modules for formatting sequence databases, performing peptide spectrum matching, statistically filtering and organizing shotgun proteomic data, extracting quantitative information from label-free and chemically labeled data, performing statistics for differential proteomics, displaying results in a variety of graphical formats, performing similarity-driven studies with de novo sequencing data, analyzing time-course experiments, and helping with the understanding of the biological significance of data in the light of the Gene Ontology.蛋白质组学PatternLab（PatternLab for Proteomics）是一款用于分析鸟枪法蛋白质组学数据（shotgun proteomic data）的集成计算环境。该工具包含多个功能模块，可实现序列数据库格式化、肽段谱匹配（Peptide Spectrum Matching）、对鸟枪法蛋白质组学数据进行统计过滤与整理、从无标记（label-free）与化学标记（chemically labeled）数据中提取定量信息、开展差异蛋白质组学（differential proteomics）相关统计分析、以多种图形格式展示结果、基于从头测序（de novo sequencing）数据开展相似性驱动研究、分析时间进程实验（time-course experiments）数据，并可结合基因本体（Gene Ontology）辅助解析数据的生物学意义。

搜集汇总

背景与挑战

背景概述

PatternLab for Proteomics是一个用于分析鸟枪法蛋白质组学数据的集成计算环境，提供数据库格式化、肽段谱图匹配、统计过滤、定量提取、差异分析及结果可视化等多种功能模块。该软件以用户友好的图形界面为特点，支持自由获取和安装，覆盖了蛋白质组数据分析的主要方面。