Evidence map›Paper›PMID 35243369›Full record

ArticleSTAR protocols2022

TreeTuner: A pipeline for minimizing redundancy and complexity in large phylogenetic datasets.

Xi Zhang, Yining Hu, Laura Eme, Shinichiro Maruyama, Robert J M Eveleigh, Bruce A Curtis, Shannon J Sibbald, Julia F Hopkins, Gina V Filloramo, Klaas J van Wijk and 1 more

Abstract read
In one paragraph

Article in STAR protocols, 2022. 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

11 authors.

Xi ZhangDepartment of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Yining HuDepartment of Computer Science, Western University, London, ON N6A 5B7, Canada.
Laura EmeDepartment of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Shinichiro MaruyamaDepartment of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Robert J M EveleighDepartment of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Bruce A CurtisDepartment of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Shannon J SibbaldDepartment of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Julia F HopkinsDepartment of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Gina V FilloramoDepartment of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.
Klaas J van WijkDepartment of Plant Biology, Cornell University, Ithaca, NY 14853, USA.
John M ArchibaldDepartment of Biochemistry and Molecular Biology, Dalhousie University, Halifax, NS B3H 4R2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various bioinformatics protocols have been developed for trimming the number of operational taxonomic units (OTUs) in phylogenetic datasets, but they typically require significant manual intervention. Here we present TreeTuner, a semiautomated pipeline that allows both coarse and fine-scale tuning of large protein sequence phylogenetic datasets via the minimization of OTU redundancy. TreeTuner facilitates preliminary investigation of such datasets as well as more rigorous downstream analysis of specific subsets of OTUs. For complete details on the use and execution of this protocol, please refer to Maruyama et al. (2013) and Sibbald et al. (2019).

Indexed as

Computational BiologyPhylogenyBioinformaticsEvolutionary biologyGenomicsSystems biology

Identifiers

PMID35243369
PMCPMC8857567

What OpenQuestion holds

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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.