Evidence map›Paper›PMID 31182859›Full record

ArticleNature methods2019

FEAST: fast expectation-maximization for microbial source tracking.

Liat Shenhav, Mike Thompson, Tyler A Joseph, Leah Briscoe, Ori Furman, David Bogumil, Itzhak Mizrahi, Itsik Pe'er, Eran Halperin

Abstract read
In one paragraph

Article in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 261 papers.

0numbers the graph read from it
0cells of the map it votes in
261citing 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

261 citing papers in PubMed.

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201 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

9 authors.

Liat ShenhavDepartment of Computer Science, University of California Los Angeles, Los Angeles, CA, USA.
Mike ThompsonDepartment of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1546-0512
Tyler A JosephDepartment of Computer Science, Columbia University, New York, NY, USA.
Leah BriscoeDepartment of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA.
Ori FurmanLife Sciences, Ben Gurion University, Be'er Sheva, Israel.
David BogumilLife Sciences, Ben Gurion University, Be'er Sheva, Israel.
Itzhak MizrahiLife Sciences, Ben Gurion University, Be'er Sheva, Israel.
Itsik Pe'erDepartment of Computer Science, Columbia University, New York, NY, USA.
Eran HalperinDepartment of Computer Science, University of California Los Angeles, Los Angeles, CA, USA. ehalperin@cs.ucla.edu.ORCID http://orcid.org/0000-0002-2373-3691

Funding

Next Generation Sequencing for Disease Mapping in a Founder PopulationR01MH095458 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI DARVASI, ARIEL, LENCZ, TODD · 2013 to 2016
$3.8M
SCH: Prediction of Preterm Birth in Nulliparous WomenR01LM013327 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI FRIEDMAN, ALEXANDER M, PE'ER, ITSHACK G · 2019 to 2022
$1.2M
NIMH NIH HHS R01 MH095458NLM NIH HHS R01 LM013327
6 · The paper itself

Abstract

A major challenge of analyzing the compositional structure of microbiome data is identifying its potential origins. Here, we introduce fast expectation-maximization microbial source tracking (FEAST), a ready-to-use scalable framework that can simultaneously estimate the contribution of thousands of potential source environments in a timely manner, thereby helping unravel the origins of complex microbial communities ( https://github.com/cozygene/FEAST ). The information gained from FEAST may provide insight into quantifying contamination, tracking the formation of developing microbial communities, as well as distinguishing and characterizing bacteria-related health conditions.

Indexed as

MicrobiotaAdultBacteriaGastrointestinal MicrobiomeHumansInfantIntensive Care Units

Identifiers

PMID31182859
PMCPMC8535041

What OpenQuestion holds

Textmetadata
LicenceTDM
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.