• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Idbview:一个用于呼吸相关疾病的数据库和交互式平台。

Idbview: a database and interactive platform for respiratory-associated disease.

机构信息

Department of Respiratory, Children's Hospital of Chongqing Medical University, Chongqing, China.

National Clinical Research Center for Child Health and Disorders, Chongqing, China.

出版信息

Front Immunol. 2024 Oct 17;15:1460422. doi: 10.3389/fimmu.2024.1460422. eCollection 2024.

DOI:10.3389/fimmu.2024.1460422
PMID:39493756
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11528422/
Abstract

Public databases have become invaluable resources for disease research, particularly in the realm of identifying and validating biomarkers, thus playing a significant role in enhancing our understanding of respiratory diseases. To facilitate this understanding, the development of user-friendly analytical tools and advanced systematic models that leverage the growing omics data and clinical information datasets is essential. Despite the importance of such resources, the research progress related to respiratory diseases is hindered by the absence of a centralized platform housing easily accessible datasets and accompanying visualization tools. In an effort to streamline and standardize information sharing across diverse respiratory research initiatives, we introduce Idbview, a specialized digital database focusing on respiratory conditions, offering interactive visualization functionalities powered by both Vue and R Shiny applications. Idbview brings together clinical data and various omics datasets, serving as a centralized repository, while also providing users with a suite of interactive tools to analyze and visualize data from multiple perspectives. As a comprehensive resource hub, Idbview aims to support the research community in conducting further studies in both clinical and bioinformatics domains, with the website accessible at https://idbview.com.

摘要

公共数据库已成为疾病研究的宝贵资源,尤其是在识别和验证生物标志物方面,因此在增强我们对呼吸疾病的理解方面发挥了重要作用。为了促进这种理解,必须开发用户友好的分析工具和先进的系统模型,利用不断增长的组学数据和临床信息数据集。尽管这些资源很重要,但由于缺乏集中式平台来容纳易于访问的数据集和伴随的可视化工具,与呼吸疾病相关的研究进展受到了阻碍。为了简化和标准化跨不同呼吸研究计划的信息共享,我们引入了 Idbview,这是一个专注于呼吸状况的专门数字数据库,提供由 Vue 和 R Shiny 应用程序提供支持的交互式可视化功能。Idbview 将临床数据和各种组学数据集汇集在一起,作为一个集中式存储库,同时为用户提供一套用于从多个角度分析和可视化数据的交互式工具。作为一个全面的资源中心,Idbview 旨在支持研究社区在临床和生物信息学领域进行进一步的研究,该网站可在 https://idbview.com 访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbd2/11528422/2b9321e74155/fimmu-15-1460422-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbd2/11528422/483ca8c44f6b/fimmu-15-1460422-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbd2/11528422/5a6def539980/fimmu-15-1460422-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbd2/11528422/937660902a7f/fimmu-15-1460422-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbd2/11528422/2b9321e74155/fimmu-15-1460422-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbd2/11528422/483ca8c44f6b/fimmu-15-1460422-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbd2/11528422/5a6def539980/fimmu-15-1460422-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbd2/11528422/937660902a7f/fimmu-15-1460422-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbd2/11528422/2b9321e74155/fimmu-15-1460422-g005.jpg

相似文献

1
Idbview: a database and interactive platform for respiratory-associated disease.Idbview:一个用于呼吸相关疾病的数据库和交互式平台。
Front Immunol. 2024 Oct 17;15:1460422. doi: 10.3389/fimmu.2024.1460422. eCollection 2024.
2
Mitochondrial Disease Sequence Data Resource (MSeqDR): a global grass-roots consortium to facilitate deposition, curation, annotation, and integrated analysis of genomic data for the mitochondrial disease clinical and research communities.线粒体疾病序列数据资源(MSeqDR):一个全球基层联盟,旨在促进为线粒体疾病临床和研究群体进行基因组数据的提交、管理、注释及综合分析。
Mol Genet Metab. 2015 Mar;114(3):388-96. doi: 10.1016/j.ymgme.2014.11.016. Epub 2014 Dec 4.
3
ivTerm-An R package for interactive visualization of functional analysis results of meta-omics data.ivTerm—一个用于元组学数据功能分析结果交互式可视化的 R 包。
J Cell Biochem. 2021 Oct;122(10):1428-1434. doi: 10.1002/jcb.30019. Epub 2021 Jun 16.
4
GENAVi: a shiny web application for gene expression normalization, analysis and visualization.GENAVi:一个用于基因表达归一化、分析和可视化的闪亮网络应用程序。
BMC Genomics. 2019 Oct 16;20(1):745. doi: 10.1186/s12864-019-6073-7.
5
OLS Client and OLS Dialog: Open Source Tools to Annotate Public Omics Datasets.OLS客户端和OLS对话框:用于注释公共组学数据集的开源工具。
Proteomics. 2017 Oct;17(19). doi: 10.1002/pmic.201700244.
6
SODB facilitates comprehensive exploration of spatial omics data.SODB 有助于全面探索空间组学数据。
Nat Methods. 2023 Mar;20(3):387-399. doi: 10.1038/s41592-023-01773-7. Epub 2023 Feb 16.
7
Web tools for predictive toxicology model building.用于预测毒理学模型构建的网络工具。
Expert Opin Drug Metab Toxicol. 2012 Jul;8(7):791-801. doi: 10.1517/17425255.2012.685158. Epub 2012 May 12.
8
MSeqDR: A Centralized Knowledge Repository and Bioinformatics Web Resource to Facilitate Genomic Investigations in Mitochondrial Disease.MSeqDR:一个集中式知识储存库和生物信息学网络资源,以促进线粒体疾病的基因组研究。
Hum Mutat. 2016 Jun;37(6):540-548. doi: 10.1002/humu.22974. Epub 2016 Mar 21.
9
Constructing an Interactive and Integrated Analysis and Identification Platform for Pathogenic Microorganisms to Support Surveillance Capacity.构建一个交互式和集成的病原微生物分析与鉴定平台,以支持监测能力。
Genes (Basel). 2023 Nov 29;14(12):2156. doi: 10.3390/genes14122156.
10
CFViSA: A comprehensive and free platform for visualization and statistics in omics-data.CFViSA:一个全面且免费的组学数据可视化和统计平台。
Comput Biol Med. 2024 Mar;171:108206. doi: 10.1016/j.compbiomed.2024.108206. Epub 2024 Feb 28.

引用本文的文献

1
Clinical features of HAdV-55 in children with respiratory tract infections: a retrospective case series and literature review.儿童呼吸道感染中腺病毒55型的临床特征:一项回顾性病例系列研究及文献综述
BMC Infect Dis. 2025 Apr 17;25(1):553. doi: 10.1186/s12879-025-10890-x.

本文引用的文献

1
Majorbio Cloud: A one-stop, comprehensive bioinformatic platform for multiomics analyses.迈基诺云:一个用于多组学分析的一站式综合生物信息学平台。
Imeta. 2022 Mar 16;1(2):e12. doi: 10.1002/imt2.12. eCollection 2022 Jun.
2
Early human lung immune cell development and its role in epithelial cell fate.早期人类肺免疫细胞的发育及其在上皮细胞命运中的作用。
Sci Immunol. 2023 Dec 15;8(90):eadf9988. doi: 10.1126/sciimmunol.adf9988.
3
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2024.
2024 年中国国家生物信息中心国家基因组学数据中心的数据库资源。
Nucleic Acids Res. 2024 Jan 5;52(D1):D18-D32. doi: 10.1093/nar/gkad1078.
4
An integrated cell atlas of the lung in health and disease.肺部健康与疾病的细胞整合图谱
Nat Med. 2023 Jun;29(6):1563-1577. doi: 10.1038/s41591-023-02327-2. Epub 2023 Jun 8.
5
A spatially resolved atlas of the human lung characterizes a gland-associated immune niche.人类肺部的空间分辨图谱描绘了一个与腺体相关的免疫生态位。
Nat Genet. 2023 Jan;55(1):66-77. doi: 10.1038/s41588-022-01243-4. Epub 2022 Dec 21.
6
Organoid modeling of human fetal lung alveolar development reveals mechanisms of cell fate patterning and neonatal respiratory disease.人类胎儿肺泡发育的类器官模型揭示了细胞命运模式形成机制和新生儿呼吸系统疾病。
Cell Stem Cell. 2023 Jan 5;30(1):20-37.e9. doi: 10.1016/j.stem.2022.11.013. Epub 2022 Dec 8.
7
A human fetal lung cell atlas uncovers proximal-distal gradients of differentiation and key regulators of epithelial fates.人类胎儿肺细胞图谱揭示了分化的远近梯度和上皮命运的关键调节因子。
Cell. 2022 Dec 8;185(25):4841-4860.e25. doi: 10.1016/j.cell.2022.11.005.
8
Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization.Hiplot:一个全面且易于使用的网络服务,用于增强可发表的生物医学数据可视化效果。
Brief Bioinform. 2022 Jul 18;23(4). doi: 10.1093/bib/bbac261.
9
A guide to machine learning for biologists.生物学机器学习指南。
Nat Rev Mol Cell Biol. 2022 Jan;23(1):40-55. doi: 10.1038/s41580-021-00407-0. Epub 2021 Sep 13.
10
nCov2019: an R package for studying the COVID-19 coronavirus pandemic.nCov2019:一个用于研究2019冠状病毒病大流行的R软件包。
PeerJ. 2021 Jun 10;9:e11421. doi: 10.7717/peerj.11421. eCollection 2021.