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Nucleic Acids Res. 2013 Jan;41(Database issue):D152-6. doi: 10.1093/nar/gks1062. Epub 2012 Nov 17.

GeneTack database: genes with frameshifts in prokaryotic genomes and eukaryotic mRNA sequences.

Author information

1
School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.

Abstract

Database annotations of prokaryotic genomes and eukaryotic mRNA sequences pay relatively low attention to frame transitions that disrupt protein-coding genes. Frame transitions (frameshifts) could be caused by sequencing errors or indel mutations inside protein-coding regions. Other observed frameshifts are related to recoding events (that evolved to control expression of some genes). Earlier, we have developed an algorithm and software program GeneTack for ab initio frameshift finding in intronless genes. Here, we describe a database (freely available at http://topaz.gatech.edu/GeneTack/db.html) containing genes with frameshifts (fs-genes) predicted by GeneTack. The database includes 206 991 fs-genes from 1106 complete prokaryotic genomes and 45 295 frameshifts predicted in mRNA sequences from 100 eukaryotic genomes. The whole set of fs-genes was grouped into clusters based on sequence similarity between fs-proteins (conceptually translated fs-genes), conservation of the frameshift position and frameshift direction (-1, +1). The fs-genes can be retrieved by similarity search to a given query sequence via a web interface, by fs-gene cluster browsing, etc. Clusters of fs-genes are characterized with respect to their likely origin, such as pseudogenization, phase variation, etc. The largest clusters contain fs-genes with programed frameshifts (related to recoding events).

PMID:
23161689
PMCID:
PMC3531167
DOI:
10.1093/nar/gks1062
[Indexed for MEDLINE]
Free PMC Article

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