Evidence map›Paper›PMID 33727399›Full record

ArticlemSystems2021

EMPress Enables Tree-Guided, Interactive, and Exploratory Analyses of Multi-omic Data Sets.

Kalen Cantrell, Marcus W Fedarko, Gibraan Rahman, Daniel McDonald, Yimeng Yang, Thant Zaw, Antonio Gonzalez, Stefan Janssen, Mehrbod Estaki, Niina Haiminen and 20 more

Abstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
–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

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. The effect ofJournal of oral microbiology · 2025
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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

30 authors.

Kalen Cantrell *Department of Computer Science, Jacobs School of Engineering, University of California, San Diego, California, USA.
Marcus W Fedarko *Department of Computer Science, Jacobs School of Engineering, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0002-6718-6925
Gibraan RahmanBioinformatics and Systems Biology Program, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0002-8843-0229
Daniel McDonaldDepartment of Pediatrics, School of Medicine, University of California, San Diego, California, USA.
Yimeng YangCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, California, USA.
Thant ZawCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, California, USA.
Antonio GonzalezDepartment of Pediatrics, School of Medicine, University of California, San Diego, California, USA.
Stefan JanssenAlgorithmic Bioinformatics, Justus Liebig University, Giessen, Germany.ORCID https://orcid.org/0000-0003-0955-0589
Mehrbod EstakiDepartment of Pediatrics, School of Medicine, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0003-4556-8444
Niina HaiminenIBM T. J. Watson Research Center, Yorktown Heights, New York, USA.ORCID https://orcid.org/0000-0002-8663-1019
Kristen L BeckIBM Almaden Research Center, San Jose, California, USA.ORCID https://orcid.org/0000-0002-4603-0235
Qiyun ZhuDepartment of Pediatrics, School of Medicine, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0002-3568-6271
Erfan SayyariCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, California, USA.
James T MortonCenter for Computational Biology, Flatiron Institute, Simons Foundation, New York, New York, USA.
George ArmstrongCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0002-1061-3295
Anupriya TripathiDepartment of Pediatrics, School of Medicine, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0001-8912-9684
Julia M GauglitzCollaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0003-3146-2489
Clarisse MarotzDepartment of Pediatrics, School of Medicine, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0002-1520-8854
Nathaniel L MattesonScripps Research Institute, San Diego, California, USA.
Cameron MartinoCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, California, USA.
Jon G SandersCornell Institute for Host-Microbe Interaction and Disease, Cornell University, Ithaca, New York, USA.ORCID https://orcid.org/0000-0001-6077-4014
Anna Paola CarrieriIBM Research, The Hartree Centre, Daresbury, United Kingdom.ORCID https://orcid.org/0000-0003-2349-1896
Se Jin SongCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, California, USA.
Austin D SwaffordCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0001-5655-8300
Pieter C DorresteinCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, California, USA.
Kristian G AndersenScripps Research Institute, San Diego, California, USA.
Laxmi ParidaIBM T. J. Watson Research Center, Yorktown Heights, New York, USA.ORCID https://orcid.org/0000-0002-7872-5074
Ho-Cheol KimIBM Almaden Research Center, San Jose, California, USA.ORCID https://orcid.org/0000-0003-0464-4340
Yoshiki Vázquez-BaezaCenter for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0001-6014-2009
Rob KnightDepartment of Computer Science, Jacobs School of Engineering, University of California, San Diego, California, USA robknight@ucsd.edu.ORCID https://orcid.org/0000-0002-0975-9019

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ROB KNIGHT, Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
Technology CoreU19AI135995 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI Bryan Briney · 2018 to 2026
$32.0M
NIAID NIH HHS U19 AI135995NIA NIH HHS U19 AG063744
6 · The paper itself

Abstract

Standard workflows for analyzing microbiomes often include the creation and curation of phylogenetic trees. Here we present EMPress, an interactive web tool for visualizing trees in the context of microbiome, metabolome, and other community data scalable to trees with well over 500,000 nodes. EMPress provides novel functionality-including ordination integration and animations-alongside many standard tree visualization features and thus simplifies exploratory analyses of many forms of 'omic data.

Indexed as

bioinformaticsmicrobial ecology

Identifiers

PMID33727399
PMCPMC8546999

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.