Evidence map›Paper›PMID 35340431›Full record

ArticleiScience2022

Optimization of the 16S rRNA sequencing analysis pipeline for studying

Arianna I Celis, Andrés Aranda-Díaz, Rebecca Culver, Katherine Xue, David Relman, Handuo Shi, Kerwyn Casey Huang

Abstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
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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

7 authors.

Arianna I CelisDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Andrés Aranda-DíazDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Rebecca CulverDepartment of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Katherine XueDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
David RelmanDepartment of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Handuo ShiDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Kerwyn Casey HuangDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.

Funding

A universal pipeline for functional characterization of the human microbiota at a massive scaleRM1GM135102 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BUIE, CULLEN RICHARD, DEUTSCHBAUER, ADAM M · 2020 to 2024
$7.6M
Antimicrobial Resistance and Horizontal Gene Transfer in the Human Gut Microbiome in Response to an AntibioticR01AI147023 · NIAID · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI RELMAN, DAVID A. · 2020 to 2024
$3.5M
Household transmission of the human gut microbiota after antibiotic exposureR21AI168860 · NIAID · STANFORD UNIVERSITY · PI RELMAN, DAVID A. · 2023 to 2024
$426k
NIAID NIH HHS R01 AI147023NIAID NIH HHS R21 AI168860NIGMS NIH HHS RM1 GM135102
6 · The paper itself

Abstract

While microbial communities inhabit a wide variety of complex natural environments,

Indexed as

Methodology in biological sciencesMicrobiology

Identifiers

PMID35340431
PMCPMC8941205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.