ArticleBioinformatics advances2025
Accurate, comprehensive database of group I introns and their homing endonucleases.
Article in Bioinformatics advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- High-throughput engineering of ligand-activated splicing ribozyme through domain insertion.bioRxiv : the preprint server for biology · 2026Article
- Group I introns in tRNA genes of Patescibacteria.mSystems · 2026Article
- Animal-associated jumbo phages as widespread and active modulators of gut microbiome ecology and metabolism.Science advances · 2026Article
- A prevalent huge phage clade in human and animal gut microbiomes.bioRxiv : the preprint server for biology · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motivation: Group I introns are one of the most widely studied ribozymes. Since their initial discovery, a large number of them have been identified experimentally or computationally. However, no comprehensive and unified database that provides group I intron sequences with precise boundaries and structural information is available. Results: We created a new database of group I intron sequences with reliable exon-intron boundaries. The database offers additional data for each sequence, such as containing GenBank entry, its position within the associated entry, the subtype of each intron and putative homing endonucleases. Secondary structure predictions and base-pairing probability matrixes are also provided for each sequence. The resource is expected to facilitate large-scale studies of group I introns, as well as engineering for novel applications. Availability and implementation: The database, as well as the code to generate it and a GUI to facilitate its exploration, are available at https://github.com/LaraSellesVidal/Group1IntronDatabase. The source code for the GUI implementation is available at https://github.com/LaraSellesVidal/OnlineGroup1IntronDatabase. The database can also be accessed online at https://online-group-1-intron-database.onrender.com. Base-pairing probability matrixes are available separately at https://www.ebi.ac.uk/biostudies/studies/S-BSST1399.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.