Evidence map›Paper›PMID 24214989›Full record

ArticleNucleic acids research2014

Assembly information services in the European Nucleotide Archive.

Nima Pakseresht, Blaise Alako, Clara Amid, Ana Cerdeño-Tárraga, Iain Cleland, Richard Gibson, Neil Goodgame, Tamer Gur, Mikyung Jang, Simon Kay and 20 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. 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. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The European Nucleotide Archive in 2017.Nucleic acids research · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Genenames.org: the HGNC resources in 2015.Nucleic acids research · 2015
    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

30 authors.

Nima PaksereshtEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Blaise Alako
Clara Amid
Ana Cerdeño-Tárraga
Iain Cleland
Richard Gibson
Neil Goodgame
Tamer Gur
Mikyung Jang
Simon Kay
Rasko Leinonen
Weizhong Li
Xin Liu
Rodrigo Lopez
Hamish McWilliam
Arnaud Oisel
Swapna Pallreddy
Sheila Plaister
Rajesh Radhakrishnan
Stephane Rivière
Marc Rossello
Alexander Senf
Nicole Silvester
Dmitriy Smirnov
Silvano Squizzato
Petra ten Hoopen
Ana Luisa Toribio
Daniel Vaughan
Vadim Zalunin
Guy Cochrane

Funding

Biotechnology and Biological Sciences Research Council BB/I02612X/1Biotechnology and Biological Sciences Research Council BB/J019321/1
6 · The paper itself

Abstract

The European Nucleotide Archive (ENA; http://www.ebi.ac.uk/ena) is a repository for the world public domain nucleotide sequence data output. ENA content covers a spectrum of data types including raw reads, assembly data and functional annotation. ENA has faced a dramatic growth in genome assembly submission rates, data volumes and complexity of datasets. This has prompted a broad reworking of assembly submission services, for which we now reach the end of a major programme of work and many enhancements have already been made available over the year to components of the submission service. In this article, we briefly review ENA content and growth over 2013, describe our rapidly developing services for genome assembly information and outline further major developments over the last year.

Indexed as

Databases, Nucleic AcidGenomicsEuropeInternet

Identifiers

PMID24214989
PMCPMC3965037

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.