Evidence map›Paper›PMID 27703071›Full record

ArticlemBio2016

Next-Generation High-Throughput Functional Annotation of Microbial Genomes.

Ralph S Baric, Sean Crosson, Blossom Damania, Samuel I Miller, Eric J Rubin

Abstract read
In one paragraph

Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Prokaryotic Genome Annotation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Molecular control of gene expression byThe Journal of biological chemistry · 2018
    Article
  13. Article
  14. 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

5 authors.

Ralph S BaricDepartment of Microbiology and Immunology, University of North Carolina, Chapel Hill, North Carolina, USA.
Sean CrossonDepartment of Biochemistry and Molecular Biology and Department of Microbiology, University of Chicago, Chicago, Illinois, USA scrosson@uchicago.edu.
Blossom DamaniaDepartment of Microbiology and Immunology, University of North Carolina, Chapel Hill, North Carolina, USA.
Samuel I MillerDepartment of Microbiology, Department of Immunology, Department of Medicine, Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
Eric J RubinDepartment of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.

Funding

The roles of genes critical for growth under defined conditions in vitro or duriU19AI107774 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI CARR, STEVEN A, FORTUNE, SARAH · 2013 to 2017
$13.2M
Study of Novel HHV8/KSHV Encoded GenesU19AI107810 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DITTMER, DIRK P · 2013 to 2017
$10.6M
Protein Interaction Technology CoreU19AI107775 · NIAID · UNIVERSITY OF WASHINGTON · PI BRITTNACHER, MITCHELL J · 2013 to 2017
$7.7M
Technology CoreU19AI107792 · NIAID · UNIVERSITY OF CHICAGO · PI BABNIGG, GYORGY · 2013 to 2017
$4.3M
NIAID NIH HHS U19 AI107774NIAID NIH HHS U19 AI107775NIAID NIH HHS U19 AI107792NIAID NIH HHS U19 AI107810
6 · The paper itself

Abstract

Host infection by microbial pathogens cues global changes in microbial and host cell biology that facilitate microbial replication and disease. The complete maps of thousands of bacterial and viral genomes have recently been defined; however, the rate at which physiological or biochemical functions have been assigned to genes has greatly lagged. The National Institute of Allergy and Infectious Diseases (NIAID) addressed this gap by creating functional genomics centers dedicated to developing high-throughput approaches to assign gene function. These centers require broad-based and collaborative research programs to generate and integrate diverse data to achieve a comprehensive understanding of microbial pathogenesis. High-throughput functional genomics can lead to new therapeutics and better understanding of the next generation of emerging pathogens by rapidly defining new general mechanisms by which organisms cause disease and replicate in host tissues and by facilitating the rate at which functional data reach the scientific community.

Indexed as

Genome, MicrobialComputational BiologyMolecular Sequence Annotation

Identifiers

PMID27703071
PMCPMC5050336

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.