Evidence map›Paper›PMID 30787116›Full record

ArticlemSphere2019

Unsupervised Learning Approach for Comparing Multiple Transposon Insertion Sequencing Studies.

Troy P Hubbard, Jonathan D D'Gama, Gabriel Billings, Brigid M Davis, Matthew K Waldor

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Quantification ofeLife · 2025
    Article
  2. Quantification ofbioRxiv : the preprint server for biology · 2024
    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

5 authors at 3 institutions in 1 country.

Troy P Hubbard *Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA.
Jonathan D D'Gama *Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA.
Gabriel Billings *Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA.
Brigid M DavisDepartment of Microbiology, Harvard Medical School, Boston, Massachusetts, USA.
Matthew K WaldorDepartment of Microbiology, Harvard Medical School, Boston, Massachusetts, USA MWALDOR@research.bwh.harvard.edu.
Harvard University · USBrigham and Women's Hospital · USHoward Hughes Medical Institute · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Vibrio cholerae intestinal colonization and vaccine developmentR01AI042347 · NIAID · TUFTS UNIVERSITY BOSTON · PI WALDOR, MATTHEW K · 1998 to 2025
$7.3M
Genetic Analysis of Vibrio parahaemolyticus PathogenicityF31AI120665 · NIAID · HARVARD MEDICAL SCHOOL · PI HUBBARD, TROY PATRICK · 2015 to 2017
$96k
Howard Hughes Medical InstituteNIAID NIH HHS F31 AI120665NIAID NIH HHS R01 AI042347NIGMS NIH HHS T32 GM007753
6 · The paper itself

Abstract

Transposon insertion sequencing (TIS) is a widely used technique for conducting genome-scale forward genetic screens in bacteria. However, few methods enable comparison of TIS data across multiple replicates of a screen or across independent screens, including screens performed in different organisms. Here, we introduce a

Indexed as

Mutagenesis, InsertionalUnsupervised Machine LearningBacterial ProteinsCluster AnalysisDNA Transposable ElementsGenomicsHigh-Throughput Nucleotide SequencingPrincipal Component AnalysisVibrio choleraeBacterial ProteinsDNA Transposable Elementshost-pathogen interactionsin vivo screenPCAprincipal-component analysisTn-seqVibrio choleraevibrio pathogenesis

Identifiers

PMID30787116
PMCPMC6382967
OpenAlexW2917266290

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.