Evidence map›Paper›PMID 37405310›Full record

ArticleFrontiers in bioinformatics2023

Microbiome maps: Hilbert curve visualizations of metagenomic profiles.

Camilo Valdes, Vitalii Stebliankin, Daniel Ruiz-Perez, Ji In Park, Hajeong Lee, Giri Narasimhan

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024
    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

6 authors.

Camilo ValdesLawrence Livermore National Laboratory, Physical and Life Sciences Directorate, Livermore, CA, United States.
Vitalii StebliankinBioinformatics Research Group (BioRG), Florida International University, Miami, FL, United States.
Daniel Ruiz-PerezBioinformatics Research Group (BioRG), Florida International University, Miami, FL, United States.
Ji In ParkDepartment of Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Gangwon-do, Republic of Korea.
Hajeong LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Giri NarasimhanBioinformatics Research Group (BioRG), Florida International University, Miami, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abundance profiles from metagenomic sequencing data synthesize information from billions of sequenced reads coming from thousands of microbial genomes. Analyzing and understanding these profiles can be a challenge since the data they represent are complex. Particularly challenging is their visualization, as existing techniques are inadequate when the taxa number is in the thousands. We present a technique, and accompanying software, for the visualization of metagenomic abundance profiles using a space-filling curve that transforms a profile into an interactive 2D image. We created Jasper, an easy to use tool for the visualization and exploration of metagenomic profiles from DNA sequencing data. It orders taxa using a space-filling Hilbert curve, and creates a "

Indexed as

DNA sequencingHilbert curveimage analysismapsmetagenomicsmicrobiomeprofilingvisualization

Identifiers

PMID37405310
PMCPMC10317073

What OpenQuestion holds

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LicenceCC BY
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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.