Evidence map›Paper›PMID 24822057›Full record

ReviewFrontiers in genetics2014

tRNADB-CE: tRNA gene database well-timed in the era of big sequence data.

Takashi Abe, Hachiro Inokuchi, Yuko Yamada, Akira Muto, Yuki Iwasaki, Toshimichi Ikemura

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

39 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Genes · 2023
    Article
  11. Review
  12. Article
  13. Article
  14. Accurate characterization ofRNA biology · 2021
    Article
  15. Article
  16. Article
  17. Information theory unveils the evolution of tRNA identity elements in the three domains of life.Theory in biosciences = Theorie in den Biowissenschaften · 2020
    Article
  18. Review
  19. GlobalViruses · 2019
    Article
  20. 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

6 authors at 2 institutions in 1 country.

Takashi AbeGraduate School of Science and Technology, Niigata University Niigata, Japan.
Hachiro InokuchiNagahama Institute of Bio-Science and Technology, Nagahama Shiga, Japan.
Yuko YamadaNagahama Institute of Bio-Science and Technology, Nagahama Shiga, Japan.
Akira MutoFaculty of Agriculture and Life Science, Hirosaki University Hirosaki, Japan.
Yuki IwasakiNagahama Institute of Bio-Science and Technology, Nagahama Shiga, Japan.
Toshimichi IkemuraNagahama Institute of Bio-Science and Technology, Nagahama Shiga, Japan.
Hirosaki University · JPNiigata University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tRNA gene data base curated by experts "tRNADB-CE" (http://trna.ie.niigata-u.ac.jp) was constructed by analyzing 1,966 complete and 5,272 draft genomes of prokaryotes, 171 viruses', 121 chloroplasts', and 12 eukaryotes' genomes plus fragment sequences obtained by metagenome studies of environmental samples. 595,115 tRNA genes in total, and thus two times of genes compiled previously, have been registered, for which sequence, clover-leaf structure, and results of sequence-similarity and oligonucleotide-pattern searches can be browsed. To provide collective knowledge with help from experts in tRNA researches, we added a column for enregistering comments to each tRNA. By grouping bacterial tRNAs with an identical sequence, we have found high phylogenetic preservation of tRNA sequences, especially at the phylum level. Since many species-unknown tRNAs from metagenomic sequences have sequences identical to those found in species-known prokaryotes, the identical sequence group (ISG) can provide phylogenetic markers to investigate the microbial community in an environmental ecosystem. This strategy can be applied to a huge amount of short sequences obtained from next-generation sequencers, as showing that tRNADB-CE is a well-timed database in the era of big sequence data. It is also discussed that batch-learning self-organizing-map with oligonucleotide composition is useful for efficient knowledge discovery from big sequence data.

Indexed as

big dataBLSOMdatabasemetagenomephylogenic makertRNA

Identifiers

PMID24822057
PMCPMC4013482
OpenAlexW2062967359

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.