Evidence map›Paper›PMID 30505944›Full record

ArticlemSystems

q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data.

Nicholas A Bokulich, Matthew R Dillon, Yilong Zhang, Jai Ram Rideout, Evan Bolyen, Huilin Li, Paul S Albert, J Gregory Caporaso

Abstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers.

0numbers the graph read from it
0cells of the map it votes in
195citing 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

195 citing papers in PubMed.

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135 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

8 authors.

Nicholas A BokulichThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA.ORCID https://orcid.org/0000-0002-1784-8935
Matthew R DillonThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA.
Yilong ZhangMerck & Co., Inc., Kenilworth, New Jersey, USA.
Jai Ram RideoutThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA.
Evan BolyenThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA.
Huilin LiDepartments of Population Health (Biostatistics) and Environmental Medicine, NYU Langone Medical Center, New York, New York, USA.
Paul S AlbertBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
J Gregory CaporasoThe Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA.ORCID https://orcid.org/0000-0002-8865-1670

Funding

Methods for Epidemiology StudiesZIACP010181 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBERT, PAUL · 2009 to 2025
$34.8M
Training/Career Development and Education Core and PlansU54CA143925 · NCI · NORTHERN ARIZONA UNIVERSITY · PI JANI CHERI INGRAM, Jason A Wilder · 2009 to 2026
$27.5M
Uranium as an Environmental Risk Factor for Cancer Among the NavajoU54CA143924 · NCI · UNIVERSITY OF ARIZONA · PI Gloria D. Coronado · 2009 to 2026
$26.7M
Novel Statistical Methods in Analyzing Microbiome Data for Longitudinal StudyR01DK110014 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LI, HUILIN · 2016 to 2019
$1.5M
NCI NIH HHS U54 CA143924NCI NIH HHS U54 CA143925NIDDK NIH HHS R01 DK110014
6 · The paper itself

Abstract

Studies of host-associated and environmental microbiomes often incorporate longitudinal sampling or paired samples in their experimental design. Longitudinal sampling provides valuable information about temporal trends and subject/population heterogeneity, offering advantages over cross-sectional and pre-post study designs. To support the needs of microbiome researchers performing longitudinal studies, we developed q2-longitudinal, a software plugin for the QIIME 2 microbiome analysis platform (https://qiime2.org). The q2-longitudinal plugin incorporates multiple methods for analysis of longitudinal and paired-sample data, including interactive plotting, linear mixed-effects models, paired differences and distances, microbial interdependence testing, first differencing, longitudinal feature selection, and volatility analyses. The q2-longitudinal package (https://github.com/qiime2/q2-longitudinal) is open-source software released under a 3-clause Berkeley Software Distribution (BSD) license and is freely available, including for commercial use.

Indexed as

bioinformaticslinear mixed effectslongitudinal analysismicrobiome

Identifiers

PMID30505944
PMCPMC6247016

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.