Evidence map›Paper›PMID 37417952›Full record

ArticleBioinformatics (Oxford, England)2023

Tau-typing: a Nextflow pipeline for finding the best phylogenetic markers in the genome for molecular typing of microbial species.

Matthew H Seabolt, Arun K Boddapati, Joshua J Forstedt, Konstantinos T Konstantinidis

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Matthew H SeaboltLeidos Inc., Reston, VA 20190, United States.ORCID 0000-0002-0336-5545
Arun K BoddapatiLeidos Inc., Reston, VA 20190, United States.
Joshua J ForstedtLeidos Inc., Reston, VA 20190, United States.
Konstantinos T KonstantinidisSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryTau-typing is an integrated analysis pipeline for identifying genes or genomic segments whose phylogenetic resolving power most closely resembles the genome-wide resolving power of an input collection of genomes using the Kendall Tau rank correlation statistic. The pipeline is implemented in Nextflow and uses Docker and Singularity containers to ensure reliable scalability and reproducibility of results. This pipeline is particularly suitable for organisms for which whole-genome sequencing remains unaffordable or unscalable for routine applications, such as protozoan parasites which are not amenable to laboratory culture-based methods. AVAILABILITY AND IMPLEMENTATION: Tau-typing is freely available at https://github.com/hseabolt/tautyping. The pipeline is implemented in Nextflow with Singularity support.

Indexed as

GenomeSoftwareMolecular TypingPhylogenyReproducibility of Results

Identifiers

PMID37417952
PMCPMC10336021

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.