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Database Profile

TRIPBASE

General information

URL: https://tripbase.iis.sinica.edu.tw
Full name: a database for identifying the human genomic DNA and lncRNA triplexes
Description: Long-non-coding RNAs (lncRNAs) are defined as RNA sequences which are >200 nt with no coding capacity. These lncRNAs participate in various biological mechanisms, and are widely abundant in a diversity of species. There is well-documented evidence that lncRNAs can interact with genomic DNAs by forming triple helices (triplexes). Previously, several computational methods have been designed based on the Hoogsteen base-pair rule to find theoretical RNA-DNA:DNA triplexes. While powerful, these methods suffer from a high false-positive rate between the predicted triplexes and the biological experiments. To address this issue, we first collected the experimental data of genomic RNA-DNA triplexes from antisense oligonucleotide (ASO)-mediated capture assays and used Triplexator, the most widely used tool for lncRNA-DNA interaction, to reveal the intrinsic information on true triplex binding potential.
Year founded: 2023
Last update: 2023-05-22
Version: 1.0
Accessibility:
Accessible
Country/Region: China

Classification & Tag

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

Contact information

University/Institution: Institute of Information Science, Academia Sinica
Address: Institute of Information Science, Academia Sinica, Taipei, 11529, Taiwan.
City:
Province/State:
Country/Region: China
Contact name (PI/Team): Huai-Kuang Tsai
Contact email (PI/Helpdesk): hktsai@iis.sinicaedu.tw

Publications

37223317
TRIPBASE: a database for identifying the human genomic DNA and lncRNA triplexes. [PMID: 37223317]
Tzu-Chieh Lin, Yen-Ling Liu, Yu-Ting Liu, Wan-Hsin Liu, Zong-Yan Liu, Kai-Li Chang, Chin-Yao Chang, Hung Chih Ni, Jia-Hsin Huang, Huai-Kuang Tsai

Long-non-coding RNAs (lncRNAs) are defined as RNA sequences which are >200 nt with no coding capacity. These lncRNAs participate in various biological mechanisms, and are widely abundant in a diversity of species. There is well-documented evidence that lncRNAs can interact with genomic DNAs by forming triple helices (triplexes). Previously, several computational methods have been designed based on the Hoogsteen base-pair rule to find theoretical RNA-DNA:DNA triplexes. While powerful, these methods suffer from a high false-positive rate between the predicted triplexes and the biological experiments. To address this issue, we first collected the experimental data of genomic RNA-DNA triplexes from antisense oligonucleotide (ASO)-mediated capture assays and used Triplexator, the most widely used tool for lncRNA-DNA interaction, to reveal the intrinsic information on true triplex binding potential. Based on the analysis, we proposed six computational attributes as filters to improve the triplex prediction by removing most false positives. Further, we have built a new database, TRIPBASE, as the first comprehensive collection of genome-wide triplex predictions of human lncRNAs. In TRIPBASE, the user interface allows scientists to apply customized filtering criteria to access the potential triplexes of human lncRNAs in the -regulatory regions of the human genome. TRIPBASE can be accessed at https://tripbase.iis.sinica.edu.tw/.

NAR Genom Bioinform. 2023:5(2) | 2 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5264/6895 (23.669%)
Gene genome and annotation:
1586/2021 (21.573%)
5264
Total Rank
2
Citations
1
z-index

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Record metadata

Created on: 2023-08-23
Curated by:
Xinyu Zhou [2023-09-19]
Xinyu Zhou [2023-09-12]
Yue Qi [2023-09-06]
Yuxin Qin [2023-08-23]