Evidence map›Paper›PMID 23161689›Full record

ArticleNucleic acids research2013

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

Ivan Antonov, Pavel Baranov, Mark Borodovsky

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. RNA biology · 2023
    Article
  2. Incipient genome erosion and metabolic streamlining for antibiotic production in a defensive symbiont.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  3. Review
  4. Search for potential reading frameshifts in cds from Arabidopsis thaliana and other genomes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2019
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ivan AntonovSchool of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Pavel Baranov
Mark Borodovsky

Funding

PREDICTION OF GENE LOCATIONS USING STOCHASTIC MODELSR01HG000783 · NHGRI · GEORGIA INSTITUTE OF TECHNOLOGY · PI BORODOVSKY, MARK · 1993 to 2014
$4.7M
NHGRI NIH HHS HG000783Wellcome Trust 094423
6 · The paper itself

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).

Indexed as

Databases, GeneticFrameshifting, RibosomalFrameshift MutationEukaryotaGenesGenome, BacterialGenomicsInternetPosition-Specific Scoring MatricesRNA, MessengerSoftwareRNA, Messenger

Identifiers

PMID23161689
PMCPMC3531167

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.