Evidence map›Paper›PMID 26608174›Full record

ArticleBMC bioinformatics2015

Reads2Type: a web application for rapid microbial taxonomy identification.

Dhany Saputra, Simon Rasmussen, Mette V Larsen, Nizar Haddad, Maria Maddalena Sperotto, Frank M Aarestrup, Ole Lund, Thomas Sicheritz-Pontén

Abstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

8 authors.

Dhany SaputraCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kemitorvet, Kgs. Lyngby, DK-2800, Denmark. dhany@cbs.dtu.dk.
Simon RasmussenCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kemitorvet, Kgs. Lyngby, DK-2800, Denmark. simon@cbs.dtu.dk.
Mette V LarsenCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kemitorvet, Kgs. Lyngby, DK-2800, Denmark. metteb@cbs.dtu.dk.
Nizar HaddadBee Research Department, National Centre for Agricultural Research and Extension, P.O. Box 639, Baqa', 19381, Jordan. drnizarh@yahoo.com.
Maria Maddalena SperottoCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kemitorvet, Kgs. Lyngby, DK-2800, Denmark. maria@cbs.dtu.dk.
Frank M AarestrupNational Food Institute, Division for Epidemiology and Microbial Genomics, Technical University of Denmark, Kemitorvet, Kgs. Lyngby, DK-2800, Denmark. fmaa@food.dtu.dk.
Ole LundCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kemitorvet, Kgs. Lyngby, DK-2800, Denmark. lund@cbs.dtu.dk.
Thomas Sicheritz-PonténCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kemitorvet, Kgs. Lyngby, DK-2800, Denmark. thomas@cbs.dtu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of bacteria may be based on sequencing and molecular analysis of a specific locus such as 16S rRNA, or a set of loci such as in multilocus sequence typing. In the near future, healthcare institutions and routine diagnostic microbiology laboratories may need to sequence the entire genome of microbial isolates. Therefore we have developed Reads2Type, a web-based tool for taxonomy identification based on whole bacterial genome sequence data.

resultsRaw sequencing data provided by the user are mapped against a set of marker probes that are derived from currently available bacteria complete genomes. Using a dataset of 1003 whole genome sequenced bacteria from various sequencing platforms, Reads2Type was able to identify the species with 99.5 % accuracy and on the minutes time scale.

conclusionsIn comparison with other tools, Reads2Type offers the advantage of not needing to transfer sequencing files, as the entire computational analysis is done on the computer of whom utilizes the web application. This also prevents data privacy issues to arise. The Reads2Type tool is available at http://www.cbs.dtu.dk/~dhany/reads2type.html.

Indexed as

Genome, BacterialInternetSoftwareBacteriaBacterial ProteinsBenchmarkingClassificationDatabases, GeneticDNA, BacterialMultilocus Sequence TypingRNA, Ribosomal, 16SBacterial ProteinsDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID26608174
PMCPMC4659212

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.