Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

IAAA

General information

URL: http://galaxy.ustc.edu.cn/IAAA
Full name: Interactive Analysis and Atlas for Autoimmune disease
Description: IAAA integrates bulk RNA-seq data of 929 samples of 10 autoimmune diseases and single-cell RNA-seq data of 783 203 cells in 96 samples of 6 autoimmune diseases. IAAA also provides gene expression, difference, correlation, similar gene detection and cell–cell interaction.
Year founded: 2022
Last update: 2022
Version: v1.0
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
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Contact information

University/Institution: University of Science and Technology of China
Address: School of Data Sciences, University of Science and Technology of China, No. 443, Huangshan Road, Shushan District, Hefei, Anhui 230027, China
City: Hefei
Province/State: Anhui
Country/Region: China
Contact name (PI/Team): Kun Qu
Contact email (PI/Helpdesk): qukun@ustc.edu.cn

Publications

35758882
A transcriptome atlas and interactive analysis platform for autoimmune disease. [PMID: 35758882]
Zhuoqiao Shen, Minghao Fang, Wujianan Sun, Meifang Tang, Nianping Liu, Lin Zhu, Qian Liu, Bin Li, Ruoming Sun, Yu Shi, Chuang Guo, Jun Lin, Kun Qu

With the rapid development of next-generation sequencing technology, many laboratories have produced a large amount of single-cell transcriptome data of blood and tissue samples from patients with autoimmune diseases, which enables in-depth studies of the relationship between gene transcription and autoimmune diseases. However, there is still a lack of a database that integrates the large amount of autoimmune disease transcriptome sequencing data and conducts effective analysis. In this study, we developed a user-friendly web database tool, Interactive Analysis and Atlas for Autoimmune disease (IAAA), which integrates bulk RNA-seq data of 929 samples of 10 autoimmune diseases and single-cell RNA-seq data of 783 203 cells in 96 samples of 6 autoimmune diseases. IAAA also provides customizable analysis modules, including gene expression, difference, correlation, similar gene detection and cell-cell interaction, and can display results in three formats (plot, table and pdf) through custom parameters. IAAA provides valuable data resources for researchers studying autoimmune diseases and helps users deeply explore the potential value of the current transcriptome data. IAAA is available. Database URL: http://galaxy.ustc.edu.cn/IAAA.

Database (Oxford). 2022:2022() | 4 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5276/6895 (23.495%)
Expression:
1069/1347 (20.713%)
Interaction:
962/1194 (19.514%)
5276
Total Rank
3
Citations
1
z-index

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Record metadata

Created on: 2023-08-28
Curated by:
Xinyu Zhou [2023-09-19]
Yue Qi [2023-09-12]
Yuanyuan Cheng [2023-09-04]
Jane Young [2023-08-28]