Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

FPIA

General information

URL: http://bioinfo-sysu.com/fpia
Full name: Fusion Profiling Interactive Analysis
Description: FPIA is a web server to perform dynamic and customizable functions including gene expression, tumor purity and ploidy, mutation, copy number variations, levels of immune cells, stem indices, telomere length, micro satellite instability and survival for gene fusions based on 33 cancer types from TCGA data.
Year founded: 2022
Last update:
Version:
Accessibility:
Accessible
Country/Region: China

Funding support

  • 31871323
  • 31930058
  • 2014A030306044

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Sun Yat-Sen University
Address: Yuanyan Xiong, Key Laboratory of Gene Engineering of the Ministry of Education and State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510006, China
City: Guangzhou
Province/State:
Country/Region: China
Contact name (PI/Team): Xiong, Yuanyan
Contact email (PI/Helpdesk): xyyan@mail.sysu.edu.cn

Publications

34985769
FPIA: A database for gene fusion profiling and interactive analyses. [PMID: 34985769]
Lu Huang, Huimin Zhu, Zhenhua Luo, Chukun Luo, Linjiang Luo, Baoting Nong, Shiyu Zhang, Chengcheng Wan, Yanzhi Wang, Zhou Songyang, Yuanyan Xiong

As one of the hallmarks of cancer, gene fusions play an important role in tumorigenesis, and have been established as biomarkers and therapeutic targets. Although recent years have witnessed the development of gene fusion databases, a tool with interactive analytic functions remains lacking. Here, we introduce fusion profiling interactive analysis (FPIA), a web server to perform interactive and customizable analysis on fusion genes. With this platform, researchers can easily explore fusion-associated biological and molecular differences including gene expression, tumor purity and ploidy, mutation, copy number variations, protein expression, immune cell infiltration, stemness, telomere length, microsatellite instability, survival and novel peptides based on 33 cancer types from The Cancer Genome Atlas (TCGA) data. Currently, it contains 31 633 fusion events from 6910 patients. FPIA complements the existing gene fusion annotation databases with its multiomics analytic capacity, integrated analysis features, customized analysis selection and user-friendly design. The comprehensive data analyses by FPIA will greatly facilitate data mining, hypothesis generation and therapeutic target discovery. FPIA is available at http://bioinfo-sysu.com/fpia.

Int J Cancer. 2022:150(9) | 5 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
4802/6895 (30.37%)
Gene genome and annotation:
1448/2021 (28.402%)
Genotype phenotype and variation:
692/1005 (31.244%)
Expression:
985/1347 (26.949%)
4802
Total Rank
4
Citations
1.333
z-index

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Record metadata

Created on: 2022-04-23
Curated by:
Lina Ma [2022-06-01]
Pei Liu [2022-05-15]
Pei Liu [2022-05-14]
Pei Liu [2022-04-23]