Evidence map›Paper›PMID 29588360›Full record

ArticleGenome research2018

taxMaps: comprehensive and highly accurate taxonomic classification of short-read data in reasonable time.

André Corvelo, Wayne E Clarke, Nicolas Robine, Michael C Zody

Abstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Exercise and microbiome: From big data to therapy.Computational and structural biotechnology journal · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. IL10RB as a key regulator of COVID-19 host susceptibility and severity.medRxiv : the preprint server for health sciences · 2021
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. 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

4 authors.

André CorveloNew York Genome Center, New York, New York 10013, USA.
Wayne E ClarkeNew York Genome Center, New York, New York 10013, USA.
Nicolas RobineNew York Genome Center, New York, New York 10013, USA.
Michael C ZodyNew York Genome Center, New York, New York 10013, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing is a revolutionary technology for the analysis of metagenomic samples. However, querying large volumes of reads against comprehensive DNA/RNA databases in a sensitive manner can be compute-intensive. Here, we present taxMaps, a highly efficient, sensitive, and fully scalable taxonomic classification tool. Using a combination of simulated and real metagenomics data sets, we demonstrate that taxMaps is more sensitive and more precise than widely used taxonomic classifiers and is capable of delivering classification accuracy comparable to that of BLASTN, but at up to three orders of magnitude less computational cost.

Indexed as

SoftwareBacteriaComputational BiologyDatabases, Nucleic AcidHigh-Throughput Nucleotide SequencingHumansMetagenomicsMicrobiotaReproducibility of ResultsRiversSpecies SpecificityWater Microbiology

Identifiers

PMID29588360
PMCPMC5932614

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.