Evidence map›Paper›PMID 19254921›Full record

ArticleBioinformatics (Oxford, England)2009

DIYA: a bacterial annotation pipeline for any genomics lab.

Andrew C Stewart, Brian Osborne, Timothy D Read

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Genome structural variation inMicrobial genomics · 2021
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A Primer on Infectious Disease Bacterial Genomics.Clinical microbiology reviews · 2016
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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.

Andrew C StewartGenomics Department, Biological Defense Research Directorate, Naval Medical Research Center, Rockville, MD, USA.
Brian Osborne
Timothy D Read

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledDIYA (Do-It-Yourself Annotator) is a modular and configurable open source pipeline software, written in Perl, used for the rapid annotation of bacterial genome sequences. The software is currently used to take DNA contigs as input, either in the form of complete genomes or the result of shotgun sequencing, and produce an annotated sequence in Genbank file format as output. AVAILABILITY: Distribution and source code are available at (https://sourceforge.net/projects/diyg/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Genome, BacterialSoftwareDatabases, GeneticGenomicsProgramming Languages

Identifiers

PMID19254921
PMCPMC2660880

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.