Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

PID

General information

URL: http://biodb.sdau.edu.cn/PID/index
Full name: Plant Intron Database
Description: PID was developed to efficiently store, query, analyze, and integrate intron resources in plants.
Year founded: 2021
Last update:
Version:
Accessibility:
Unaccessible
Country/Region: China

Classification & Tag

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

Contact information

University/Institution: Shandong Agricultural University
Address: Agricultural Big-Data Research Center and College of Plant Protection, Shandong Agricultural University, Daizong Road No. 61, Tai an, Shandong, 271018, China
City:
Province/State: Shandong
Country/Region: China
Contact name (PI/Team): Long Yang
Contact email (PI/Helpdesk): lyang@sdau.edu.cn

Publications

34111777
PID: An integrative and comprehensive platform of plant intron. [PMID: 34111777]
Ying Gao, Fangfang Ge, Rui Zhang, Deyou Yin, Ying Zhao, Heng Tang, Li Zhang, Long Yang

Intron is a non-coding sequence of a broken gene and participates in important biological processes, such as transcription regulation, alternative splicing, and nuclear export. With the development of plant genomes, a comprehensive platform for intron analysis in plants must be established. Plant Intron Database (PID), a publicly available searchable database, was developed to efficiently store, query, analyze, and integrate intron resources in plants. The information of intron, exon, and gene can be searched by key words in PID. Users cannot only view intron length distribution pie chart and 5' and 3' splice site sequence feature maps in a statistical interface but can also browse intron information in a graphical visualization interface through JBrowse. ViroBlast for sequence homology searches, Intron detection and sequence interception tools were also provided. PID contains annotated genes from 118 sequenced plants, 24,782,048 introns, 30,843,049 exons, and 414 visual maps. This tool will greatly accelerate research on the distribution, length characteristics, and functions of introns in plants. PID is accessible at http://biodb.sdau.edu.cn/PID/index.php.

Comput Biol Chem. 2021:93() | 2 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
239/6895 (96.548%)
Gene genome and annotation:
1836/2021 (9.203%)
Metadata:
622/719 (13.63%)
239
Total Rank
2
Citations
0.5
z-index

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Record metadata

Created on: 2022-04-20
Curated by:
Lin Liu [2022-06-06]
Lin Liu [2022-05-23]
Jing Wei [2022-04-20]