Evidence map›Paper›PMID 16168085›Full record

ArticleGenome biology2005

E-Predict: a computational strategy for species identification based on observed DNA microarray hybridization patterns.

Anatoly Urisman, Kael F Fischer, Charles Y Chiu, Amy L Kistler, Shoshannah Beck, David Wang, Joseph L DeRisi

Abstract read
In one paragraph

Article in Genome biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A Novel Pan-BioMed research international · 2017
    Article
  6. DNA microarray for detection of gastrointestinal viruses.Journal of clinical microbiology · 2015
    Article
  7. Article
  8. Article
  9. Article
  10. Viral pathogen discovery.Current opinion in microbiology · 2013
    Review
  11. Pathogen chip for respiratory tract infections.Journal of clinical microbiology · 2013
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Metagenomics and the molecular identification of novel viruses.Veterinary journal (London, England : 1997) · 2011
    Review
  17. Microarrays for pathogen detection and analysis.Briefings in functional genomics · 2011
    Review
  18. Article
  19. Article
  20. Viral infection in acute exacerbation of idiopathic pulmonary fibrosis.American journal of respiratory and critical care medicine · 2011
    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

7 authors.

Anatoly UrismanDepartment of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94143, USA. anatoly@derisilab.ucsf.edu
Kael F Fischer
Charles Y Chiu
Amy L Kistler
Shoshannah Beck
David Wang
Joseph L DeRisi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA microarrays may be used to identify microbial species present in environmental and clinical samples. However, automated tools for reliable species identification based on observed microarray hybridization patterns are lacking. We present an algorithm, E-Predict, for microarray-based species identification. E-Predict compares observed hybridization patterns with theoretical energy profiles representing different species. We demonstrate the application of the algorithm to viral detection in a set of clinical samples and discuss its relevance to other metagenomic applications.

Indexed as

Oligonucleotide Array Sequence AnalysisSoftwareAlgorithmsComputational BiologyDNA, ViralHeLa CellsHumansPhylogenyResearch DesignSpecies SpecificityDNA, Viral

Identifiers

PMID16168085
PMCPMC1242213

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.