Evidence map›Paper›PMID 36747646›Full record

ArticlebioRxiv : the preprint server for biology2024

Strain tracking with uncertainty quantification.

Younhun Kim, Colin J Worby, Sawal Acharya, Lucas R van Dijk, Daniel Alfonsetti, Zackary Gromko, Philippe Azimzadeh, Karen Dodson, Georg Gerber, Scott Hultgren and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Colin J Worby
Sawal Acharya
Daniel Alfonsetti
Zackary Gromko
Philippe Azimzadeh
Karen Dodson
Scott Hultgren
Ashlee M Earl
Bonnie Berger

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI NEAFSEY, DANIEL E · 2014 to 2024
$66.5M
Epidemiologic and molecular basis of the gut-urinary tract axis in urinary tract infectionR01DK121822 · NIDDK · WASHINGTON UNIVERSITY · PI Ashlee Miriam Earl, SCOTT J. HULTGREN · 2020 to 2026
$4.9M
Machine Learning and Control Principles for Computational BiologyR35GM143056 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI GIBSON, TRAVIS ELI · 2021 to 2025
$2.2M
Tracking the microbiome: purpose-built machine learning tools for tracking microbial strains over timeR21AI154075 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI GIBSON, TRAVIS ELI · 2021 to 2022
$492k
NIAID NIH HHS R21 AI154075NIAID NIH HHS U19 AI110818NIDDK NIH HHS R01 DK121822NIGMS NIH HHS R35 GM143056
6 · The paper itself

Abstract

The ability to detect and quantify microbiota over time has a plethora of clinical, basic science, and public health applications. One of the primary means of tracking microbiota is through sequencing technologies. When the microorganism of interest is well characterized or known

Identifiers

PMID36747646
PMCPMC9900846

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.