Evidence map›Paper›PMID 21062764›Full record

ArticleBioinformatics (Oxford, England)2011

NBC: the Naive Bayes Classification tool webserver for taxonomic classification of metagenomic reads.

Gail L Rosen, Erin R Reichenberger, Aaron M Rosenfeld

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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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

98 citing papers in PubMed.

  1. Article
  2. International journal of microbiology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Machine learning for microbiologists.Nature reviews. Microbiology · 2024
    Review
  8. MetagenomicKG: a knowledge graph for metagenomic applications.bioRxiv : the preprint server for biology · 2024
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. A Statistical Perspective on the Challenges in Molecular Microbial Biology.Journal of agricultural, biological, and environmental statistics · 2021
    Article
  16. Application of computational approaches to analyze metagenomic data.Journal of microbiology (Seoul, Korea) · 2021
    Review
  17. Article
  18. Article
  19. Phylogenetic double placement of mixed samples.Bioinformatics (Oxford, England) · 2020
    Article
  20. Review

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

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Gail L RosenDepartment of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA. gailr@ece.drexel.edu
Erin R Reichenberger
Aaron M Rosenfeld

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationDatasets from high-throughput sequencing technologies have yielded a vast amount of data about organisms in environmental samples. Yet, it is still a challenge to assess the exact organism content in these samples because the task of taxonomic classification is too computationally complex to annotate all reads in a dataset. An easy-to-use webserver is needed to process these reads. While many methods exist, only a few are publicly available on webservers, and out of those, most do not annotate all reads.

resultsWe introduce a webserver that implements the naïve Bayes classifier (NBC) to classify all metagenomic reads to their best taxonomic match. Results indicate that NBC can assign next-generation sequencing reads to their taxonomic classification and can find significant populations of genera that other classifiers may miss. AVAILABILITY: Publicly available at: http://nbc.ece.drexel.edu.

Indexed as

PhylogenySoftwareAlgorithmsBayes TheoremHigh-Throughput Nucleotide SequencingInternetMetagenomics

Identifiers

PMID21062764
PMCPMC3008645

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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.