Evidence map›Paper›PMID 32637989›Full record

ArticleBioinformatics (Oxford, England)2020

TreeSAPP: the Tree-based Sensitive and Accurate Phylogenetic Profiler.

Connor Morgan-Lang, Ryan McLaughlin, Zachary Armstrong, Grace Zhang, Kevin Chan, Steven J Hallam

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. 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. Article
  2. Article
  3. Review
  4. The BacteroidetesFrontiers in microbiology · 2021
    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

6 authors.

Connor Morgan-LangGraduate Program in Bioinformatics, University of British Columbia, Genome Sciences Centre, Vancouver, British Columbia V5Z 4S6, Canada.
Ryan McLaughlinGraduate Program in Bioinformatics, University of British Columbia, Genome Sciences Centre, Vancouver, British Columbia V5Z 4S6, Canada.
Zachary ArmstrongGenome Science and Technology Program, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Grace ZhangDepartment of Electrical and Computer Engineering, University of British Columbia, Vancouver BC V6T 1Z4, Canada.
Kevin ChanDepartment of Electrical and Computer Engineering, University of British Columbia, Vancouver BC V6T 1Z4, Canada.
Steven J HallamGraduate Program in Bioinformatics, University of British Columbia, Genome Sciences Centre, Vancouver, British Columbia V5Z 4S6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationMicrobial communities drive matter and energy transformations integral to global biogeochemical cycles, yet many taxonomic groups facilitating these processes remain poorly represented in biological sequence databases. Due to this missing information, taxonomic assignment of sequences from environmental genomes remains inaccurate.

resultsWe present the Tree-based Sensitive and Accurate Phylogenetic Profiler (TreeSAPP) software for functionally and taxonomically classifying genes, reactions and pathways from genomes of cultivated and uncultivated microorganisms using reference packages representing coding sequences mediating multiple globally relevant biogeochemical cycles. TreeSAPP uses linear regression of evolutionary distance on taxonomic rank to improve classifications, assigning both closely related and divergent query sequences at the appropriate taxonomic rank. TreeSAPP is able to provide quantitative functional and taxonomic classifications for both assembled and unassembled sequences and files supporting interactive tree of life visualizations. AVAILABILITY AND IMPLEMENTATION: TreeSAPP was developed in Python 3 as an open-source Python package and is available on GitHub at https://github.com/hallamlab/TreeSAPP. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

MetagenomicsSoftwareBiological EvolutionGenomePhylogeny

Identifiers

PMID32637989
PMCPMC7695126

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.