Evidence map›Paper›PMID 26454280›Full record

ArticleBioinformatics (Oxford, England)2016

SUPER-FOCUS: a tool for agile functional analysis of shotgun metagenomic data.

Genivaldo Gueiros Z Silva, Kevin T Green, Bas E Dutilh, Robert A Edwards

Registry-linked trialAbstract readEvaluation Study
In one paragraph

Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05469997 (Ketogenic Diet Interventions in Parkinson's Disease), which is not on this map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing 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.

NCT05469997 nacompletednot on this mapstarted 2023, after this paper: background citation

Ketogenic Diet Interventions in Parkinson's Disease: Safeguarding the Gut Microbiome

TypeinterventionalSponsorUniversity of British ColumbiaRan2023 to 2024Enrolled52ConditionsParkinson DiseaseArmsMediterranean-Ketogenic Diet, Mediterranean diet supplemented with medium-chain triglyceride oil
3 · Its place in the literature

Who cites it

106 citing papers in PubMed.

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  6. 16S rRNA sequence captures microbial functional potential.bioRxiv : the preprint server for biology · 2026
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46 more citing papers are in PubMed but not listed here.

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.

Genivaldo Gueiros Z SilvaComputational Science Research Center.
Kevin T GreenDepartment of Biology, San Diego State University, San Diego, CA 92182, USA.
Bas E DutilhTheoretical Biology and Bioinformatics, Utrecht University, 3584 CH, Utrecht, The Netherlands Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Centre, 6525 GA, Nijmegen, The Netherlands Department of Marine Biology, Institute of Biology, Federal University of Rio de Janeiro, Brazil.
Robert A EdwardsComputational Science Research Center Department of Biology, San Diego State University, San Diego, CA 92182, USA Department of Marine Biology, Institute of Biology, Federal University of Rio de Janeiro, Brazil Department of Computer Science, San Diego State University, San Diego, CA 92182, USA Division of Mathematics and Computer Science, Argonne National Laboratory, Argonne, IL 60439, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryAnalyzing the functional profile of a microbial community from unannotated shotgun sequencing reads is one of the important goals in metagenomics. Functional profiling has valuable applications in biological research because it identifies the abundances of the functional genes of the organisms present in the original sample, answering the question what they can do. Currently, available tools do not scale well with increasing data volumes, which is important because both the number and lengths of the reads produced by sequencing platforms keep increasing. Here, we introduce SUPER-FOCUS, SUbsystems Profile by databasE Reduction using FOCUS, an agile homology-based approach using a reduced reference database to report the subsystems present in metagenomic datasets and profile their abundances. SUPER-FOCUS was tested with over 70 real metagenomes, the results showing that it accurately predicts the subsystems present in the profiled microbial communities, and is up to 1000 times faster than other tools. AVAILABILITY AND IMPLEMENTATION: SUPER-FOCUS was implemented in Python, and its source code and the tool website are freely available at https://edwards.sdsu.edu/SUPERFOCUS. CONTACT: redwards@mail.sdsu.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareCoral ReefsDNAMetagenomicsSequence Homology, Nucleic AcidDNA

Identifiers

PMID26454280
PMCPMC4734042

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.