Evidence map›Paper›PMID 21062814›Full record

ArticleNucleic acids research2011

DDBJ progress report.

Eli Kaminuma, Takehide Kosuge, Yuichi Kodama, Hideo Aono, Jun Mashima, Takashi Gojobori, Hideaki Sugawara, Osamu Ogasawara, Toshihisa Takagi, Kousaku Okubo and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Xenbase: A Guide to the Xenopus Genetics and Genomics Knowledgebase.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. DDBJ read annotation pipeline: a cloud computing-based pipeline for high-throughput analysis of next-generation sequencing data.DNA research : an international journal for rapid publication of reports on genes and genomes · 2013
    Article
  8. Article
  9. Genenames.org: the HGNC resources in 2013.Nucleic acids research · 2013
    Article
  10. DDBJ new system and service refactoring.Nucleic acids research · 2013
    Article
  11. GenBank.Nucleic acids research · 2013
    Article
  12. The annotation-enriched non-redundant patent sequence databases.Database : the journal of biological databases and curation · 2013
    Article
  13. Online tools for bioinformatics analyses in nutrition sciences.Advances in nutrition (Bethesda, Md.) · 2012
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. GenBank.Nucleic acids research · 2012
    Article
  19. 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

11 authors.

Eli KaminumaCenter for Information Biology and DNA Data Bank of Japan, National Institute of Genetics, Research Organization for Information and Systems, Yata, Mishima 411-8510, Japan.
Takehide Kosuge
Yuichi Kodama
Hideo Aono
Jun Mashima
Takashi Gojobori
Hideaki Sugawara
Osamu Ogasawara
Toshihisa Takagi
Kousaku Okubo
Yasukazu Nakamura

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The DNA Data Bank of Japan (DDBJ, http://www.ddbj.nig.ac.jp) provides a nucleotide sequence archive database and accompanying database tools for sequence submission, entry retrieval and annotation analysis. The DDBJ collected and released 3,637,446 entries/2,272,231,889 bases between July 2009 and June 2010. A highlight of the released data was archive datasets from next-generation sequencing reads of Japanese rice cultivar, Koshihikari submitted by the National Institute of Agrobiological Sciences. In this period, we started a new archive for quantitative genomics data, the DDBJ Omics aRchive (DOR). The DOR stores quantitative data both from the microarray and high-throughput new sequencing platforms. Moreover, we improved the content of the DDBJ patent sequence, released a new submission tool of the DDBJ Sequence Read Archive (DRA) which archives massive raw sequencing reads, and enhanced a cloud computing-based analytical system from sequencing reads, the DDBJ Read Annotation Pipeline. In this article, we describe these new functions of the DDBJ databases and support tools.

Indexed as

Databases, Nucleic AcidAmino Acid SequenceDatabases, ProteinGenomicsMolecular Sequence AnnotationPatents as TopicSoftware

Identifiers

PMID21062814
PMCPMC3013661

What OpenQuestion holds

Textmetadata
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.