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OmniPath: integrated knowledgebase for multi-omics analysis

delete2025-11-01
delete1
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OA
AI
D
Dénes Türei
J
Jonathan Schaul
N
Nicolàs Palacio‐Escat
B
Balázs Bohár
Y
Yunfan Bai
F
Francesco Ceccarelli
E
Elif Çevrim
M
Macabe Daley
M
Melih Darcan
D
Daniel Dimitrov
T
Tunca Doğan
D
Daniel Domingo‐Fernándéz
D
Dugourd, Aurelien
A
Attila Gábor
L
Lejla Potari-Gul
B
Benjamin A. Hall
C
Charles Tapley Hoyt
O
Olga Ivanova
M
Michal Klein
T
Toby Lawrence
D
Diego Mañanes
D
Dezső Módos
S
Sophia Müller‐Dott
M
Márton Ölbei
C
Christina Schmidt
B
Bünyamin Şen
F
Fabian J. Theis
A
Atabey Ünlü
E
Erva Ulusoy
A
Alberto Valdeolivas
T
Tamás Korcsmáros
G
Gao, Xinyi *
DOI：10.1093/nar/gkaf1126delete
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摘要

摘要

En 中文
组学数据的分析与解读在很大程度上得益于先验知识的应用。然而，这些知识分散于不同资源中，且通常难以直接用于分析方法。我们开发了OmniPath（https://omnipathdb.org/），这是一个整合了168个资源中多样化分子知识的数据库。它涵盖了因果蛋白-蛋白相互作用、基因调控、microRNA、酶-翻译后修饰相互作用、细胞-细胞通讯、蛋白复合物，以及生物大分子的功能、定位、结构等多个方面的信息。该数据库优先采用文献注释数据，并辅以预测结果和大规模数据库进行补充。为支持对此庞大知识库的交互式浏览，我们开发了OmniPath Explorer，该工具还包含一个可直接访问数据库的大型语言模型代理。Python和R/Bioconductor客户端包以及一个Cytoscape插件为组学分析环境（如scverse）提供了便捷途径，以获取定制的先验知识。OmniPath可广泛应用于批量、单细胞和空间多组学数据的分析，尤其适用于机制性和因果建模。
AI总结

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Nucleic Acids Research 封面图
Nucleic Acids Research
IF:
13.1
论文数:
3.6W
被引数:
29.0W

机构

U
University of London
学者数:
5.1K
论文数: 2.4K
被引数: 2.9W
R
RWTH Aachen University
学者数:
3.5W
论文数: 2.6W
被引数: 3.6W
R
Ruprecht Karls University Heidelberg
学者数:
5.6W
论文数: 4.3W
被引数: 66
European Bioinformatics Institute 封面图
European Bioinformatics Institute
学者数:
1.2K
论文数: 605
被引数: 1.4W
H
hacettepe university
学者数:
3.4K
论文数: 1.5K
被引数: 0
G
German Cancer Research Center (DKFZ)
学者数:
1.5W
论文数: 1.1W
被引数: 17
U
University of Cambridge
学者数:
7.7W
论文数: 7.1W
被引数: 13.7W
E
european molecular biology laboratory (embl)
学者数:
8.3K
论文数: 5.1K
被引数: 31
I
Imperial College London
学者数:
8.3W
论文数: 7.3W
被引数: 11.1W
F
fraunhofer gesellschaft
学者数:
1.6W
论文数: 1.2W
被引数: 24
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