.png){kind=icon}
返回
ExpressVis: a biologist-oriented interactive web server for exploring multi-omics data
.png){kind=icon}
OA
AI
DOI：10.1093/nar/gkac399.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the era of life-omics, huge amounts of multi-omics data have been generated and widely used in biomedical research. It is challenging for biologists with limited programming skills to obtain biological insights from multi-omics data. Thus, a biologist-oriented platform containing visualization functions is needed to make complex omics data digestible. Here, we propose an easy-to-use, interactive web server named ExpressVis. In ExpressVis, users can prepare datasets; perform differential expression analysis, clustering analysis, and survival analysis; and integrate expression data with protein-protein interaction networks and pathway maps. These analyses are organized into six modules. Users can use each module independently or use several modules interactively. ExpressVis displays analysis results in interactive figures and tables, and provides comprehensive interactive operations in each figure and table, between figures or tables in each module, and among different modules. It is freely accessible at https://omicsmining.ncpsb.org.en/ExpressVis and does not require login. To test the performance of ExpressVis for multi-omics studies of clinical cohorts, we re-analyzed a published hepatocellular carcinoma dataset and reproduced their main findings, suggesting that ExpressVis is convenient enough to analyze multi-omics data. Based on its complete analysis processes and unique interactive opera- tions, ExpressVis provides an easy-to-use solution for exploring multi-omics data. [GRAPHICS] .
Keyword:
TOOL
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
IF:
13.1
论文数:
3.6W
被引数:
29.4W
机构
引用论文
Advancing collaborations in health research and clinical trials in Sub-Saharan Africa: development and implementation of a biostatistical collaboration module in the Masters in Biostatistics Program at Stellenbosch University.png)
TrialsOAAI
TrialsIF0
OAAI分享收藏piNET: a versatile web platform for downstream analysis and visualization of proteomics dataNUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAI分享收藏OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics dataOmicsAnalyst: 基于web的多组学数据可视化分析综合平台NUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAI分享收藏KEGG: new perspectives on genomes, pathways, diseases and drugsKEGG: 基因组，途径，疾病和药物的新观点NUCLEIC ACIDS RESEARCHOAAI
NUCLEIC ACIDS RESEARCHIF13.1
OAAI分享收藏分享收藏
查看更多内容