antiCODE: A Database for Natural Antisense Transcripts
Author Information
Author(s): Yifei Yin, Yi Zhao, Jie Wang, Changning Liu, Shuguang Chen, Runsheng Chen, Haitao Zhao
Primary Institution: Peking Union Medical College Hospital
Hypothesis
The study aims to create a comprehensive database for natural antisense transcripts (NATs) to facilitate research.
Conclusion
antiCODE is the most comprehensive database for natural antisense transcript pairs, containing over 30,000 entries from 12 eukaryotic model organisms.
Supporting Evidence
- antiCODE contains more than 30,000 non-redundant natural sense-antisense transcript pairs.
- The database includes efficient browsing, searching, and alignment functions.
- antiCODE introduces a simple classification system for studying NATs.
Takeaway
The antiCODE database helps scientists find and study natural antisense transcripts, which are special RNA molecules that can control how genes work.
Methodology
The database was constructed by collecting NAT pairs from recent articles and classifying them based on various criteria.
Limitations
The most recent NAT datasets have not yet been included in antiCODE but will be in future releases.
Digital Object Identifier (DOI)
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