Evidence map›Paper›PMID 18835847›Full record

ArticleNucleic acids research2009

TB database: an integrated platform for tuberculosis research.

T B K Reddy, Robert Riley, Farrell Wymore, Phillip Montgomery, Dave DeCaprio, Reinhard Engels, Marcel Gellesch, Jeremy Hubble, Dennis Jen, Heng Jin and 13 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

131 citing papers in PubMed, 225 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Sex, Age, and Regional Differences inCurrent neuropharmacology · 2023
    Article
  15. Article
  16. Multiple genetic paths including massive gene amplification allowProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Article
  18. Article
  19. Drug Discovery forInternational journal of molecular sciences · 2021
    Review
  20. Article

71 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

23 authors at 2 institutions in 1 country.

T B K ReddyDepartment of Biochemistry, Stanford University, CA 94305, USA. tbreddy@stanford.edu
Robert Riley
Farrell Wymore
Phillip Montgomery
Dave DeCaprio
Reinhard Engels
Marcel Gellesch
Jeremy Hubble
Dennis Jen
Heng Jin
Michael Koehrsen
Lisa Larson
Maria Mao
Michael Nitzberg
Peter Sisk
Christian Stolte
Brian Weiner
Jared White
Zachariah K Zachariah
Gavin Sherlock
James E Galagan
Catherine A Ball
Gary K Schoolnik
Broad Institute · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effective control of tuberculosis (TB) has been thwarted by the need for prolonged, complex and potentially toxic drug regimens, by reliance on an inefficient vaccine and by the absence of biomarkers of clinical status. The promise of the genomics era for TB control is substantial, but has been hindered by the lack of a central repository that collects and integrates genomic and experimental data about this organism in a way that can be readily accessed and analyzed. The Tuberculosis Database (TBDB) is an integrated database providing access to TB genomic data and resources, relevant to the discovery and development of TB drugs, vaccines and biomarkers. The current release of TBDB houses genome sequence data and annotations for 28 different Mycobacterium tuberculosis strains and related bacteria. TBDB stores pre- and post-publication gene-expression data from M. tuberculosis and its close relatives. TBDB currently hosts data for nearly 1500 public tuberculosis microarrays and 260 arrays for Streptomyces. In addition, TBDB provides access to a suite of comparative genomics and microarray analysis software. By bringing together M. tuberculosis genome annotation and gene-expression data with a suite of analysis tools, TBDB (http://www.tbdb.org/) provides a unique discovery platform for TB research.

Indexed as

Databases, GeneticBiomedical ResearchComputer GraphicsGene ExpressionGenome, BacterialGenomicsHumansMycobacterium tuberculosisSystems IntegrationTuberculosis

Identifiers

PMID18835847
PMCPMC2686437
OpenAlexW2110670805

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.