Your browser doesn't support javascript.
loading
GISSD: Group I Intron Sequence and Structure Database.
Zhou, Yu; Lu, Chen; Wu, Qi-Jia; Wang, Yu; Sun, Zhi-Tao; Deng, Jia-Cong; Zhang, Yi.
Affiliation
  • Zhou Y; State Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, Hubei 430072, People's Republic of China.
Nucleic Acids Res ; 36(Database issue): D31-7, 2008 Jan.
Article in En | MEDLINE | ID: mdl-17942415
ABSTRACT
Group I Intron Sequence and Structure Database (GISSD) is a specialized and comprehensive database for group I introns, focusing on the integration of useful group I intron information from available databases and providing de novo data that is essential for understanding these introns at a systematic level. This database presents 1789 complete intron records, including the nucleotide sequence of each annotated intron plus 15 nt of the upstream and downstream exons, and the pseudoknots-containing secondary structures predicted by integrating comparative sequence analyses and minimal free energy algorithms. These introns represent all 14 subgroups, with their structure-based alignments being separately provided. Both structure predictions and alignments were done manually and iteratively adjusted, which yielded a reliable consensus structure for each subgroup. These consensus structures allowed us to judge the confidence of 20 085 group I introns previously found by the INFERNAL program and to classify them into subgroups automatically. The database provides intron-associated taxonomy information from GenBank, allowing one to view the detailed distribution of all group I introns. CDSs residing in introns and 3D structure information are also integrated if available. About 17 000 group I introns have been validated in this database; approximately 95% of them belong to the IC3 subgroup and reside in the chloroplast tRNA(Leu) gene. The GISSD database can be accessed at http//www.rna.whu.edu.cn/gissd/
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Introns / Databases, Nucleic Acid Language: En Journal: Nucleic Acids Res Year: 2008 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Introns / Databases, Nucleic Acid Language: En Journal: Nucleic Acids Res Year: 2008 Document type: Article