Evidence map›Paper›PMID 24281148›Full record

ReviewNature reviews. Genetics2014

Bacterial genome sequencing in the clinic: bioinformatic challenges and solutions.

W Florian Fricke, David A Rasko

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. BacExplorer: an integrated platform forBioinformatics advances · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Overcoming Data Bottlenecks in Genomic Pathogen Surveillance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Clinical Pathogen Genomics.Clinics in laboratory medicine · 2020
    Review
  20. Article

12 more citing papers are in PubMed but not listed here.

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

2 authors.

W Florian FrickeInstitute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
David A RaskoInstitute for Genome Sciences, Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Funding

Cloud-enabled genomics resource for automated pathogen diagnostics in the fieldR21AI100192 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI FRICKE, W. FLORIAN, RASKO, DAVID A · 2012 to 2013
$410k
NIAID NIH HHS 1R21AI100192
6 · The paper itself

Abstract

The potential of bacterial whole-genome sequencing (WGS) to complement existing diagnostic infrastructures in clinical microbiology has been shown in proof-of-principle examples and extensively discussed. However, less attention has been drawn to bioinformatic challenges that are associated with the clinical adoption of WGS-based molecular diagnostics. This Perspective article discusses questions that are related to standard operating procedures, computational resource management, and data storage and integration in the context of recent developments in the sequencing and bioinformatics service markets.

Indexed as

Computational BiologyGenetic TestingGenome, BacterialHigh-Throughput Nucleotide SequencingMicrobiologyPathology, Molecular

Identifiers

PMID24281148

What OpenQuestion holds

Textmetadata
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.