Evidence map›Paper›PMID 23111013›Full record

ArticleBiology direct2012

Thousands of missed genes found in bacterial genomes and their analysis with COMBREX.

Derrick E Wood, Henry Lin, Ami Levy-Moonshine, Rajiswari Swaminathan, Yi-Chien Chang, Brian P Anton, Lais Osmani, Martin Steffen, Simon Kasif, Steven L Salzberg

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. StORF-Reporter: finding genes between genes.Nucleic acids research · 2023
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  5. Review
  6. EcoSal Plus · 2020
    Review
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  13. Review
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  16. Article
  17. Objective: biochemical function.Frontiers in genetics · 2014
    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

10 authors at 4 institutions in 1 country.

Derrick E WoodDepartment of Computer Science, University of Maryland, College Park, MD 20742, USA. dwood@cs.umd.edu
Henry Lin
Ami Levy-Moonshine
Rajiswari Swaminathan
Yi-Chien Chang
Brian P Anton
Lais Osmani
Martin Steffen
Simon Kasif
Steven L Salzberg
Boston University · USUniversity of Maryland, College Park · USJohns Hopkins Medicine · USNew England Biolabs (United States) · US

Funding

SciBay: A New Methodology for Scientific Collaboration and Gene Function DetermiRC2GM092602 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KASIF, SIMON, ROBERTS, RICHARD J · 2009 to 2010
$4.0M
Bioinformatics Software for Analyzing Microbial GenomesR01GM083873 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI SALZBERG, STEVEN L. · 2008 to 2017
$2.1M
NIGMS NIH HHS R01-GM083873NIGMS NIH HHS RC2-GM092602
6 · The paper itself

Abstract

backgroundThe dramatic reduction in the cost of sequencing has allowed many researchers to join in the effort of sequencing and annotating prokaryotic genomes. Annotation methods vary considerably and may fail to identify some genes. Here we draw attention to a large number of likely genes missing from annotations using common tools such as Glimmer and BLAST.

resultsBy analyzing 1,474 prokaryotic genome annotations in GenBank, we identify 13,602 likely missed genes that are homologs to non-hypothetical proteins, and 11,792 likely missed genes that are homologs only to hypothetical proteins, yet have supporting evidence of their protein-coding nature from COMBREX, a newly created gene function database. We also estimate the likelihood that each potential missing gene found is a genuine protein-coding gene using COMBREX.

conclusionsOur analysis of the causes of missed genes suggests that larger annotation centers tend to produce annotations with fewer missed genes than smaller centers, and many of the missed genes are short genes <300 bp. Over 1,000 of the likely missed genes could be associated with phenotype information available in COMBREX. 359 of these genes, found in pathogenic organisms, may be potential targets for pharmaceutical research. The newly identified genes are available on COMBREX's website. REVIEWERS: This article was reviewed by Daniel Haft, Arcady Mushegian, and M. Pilar Francino (nominated by David Ardell).

Indexed as

Databases, Nucleic AcidGenes, BacterialOpen Reading FramesBacteriaComputational BiologyGenetic VariationGenome, BacterialMolecular Sequence AnnotationSequence AlignmentSequence Analysis, DNASequence HomologySoftware

Identifiers

PMID23111013
PMCPMC3534567
OpenAlexW2130308509

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.