Evidence map›Paper›PMID 29463657›Full record

ArticlemBio2018

The Essential Genome of

Emily C A Goodall, Ashley Robinson, Iain G Johnston, Sara Jabbari, Keith A Turner, Adam F Cunningham, Peter A Lund, Jeffrey A Cole, Ian R Henderson

Open access · goldAbstract read
In one paragraph

Article in mBio, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 208 papers.

0numbers the graph read from it
0cells of the map it votes in
208citing papers in PubMed
25.5field-weighted citation impact, top 1% 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

208 citing papers in PubMed, 358 citations in OpenAlex.

  1. High-throughput analyses ofGut microbes · 2026
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148 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 at 1 institution in 1 country.

Emily C A Goodall *Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Ashley Robinson *Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Iain G JohnstonInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Sara JabbariInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Keith A TurnerDiscuva Ltd., Cambridge, United Kingdom.
Adam F CunninghamInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-0248-964X
Peter A LundInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Jeffrey A ColeInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Ian R HendersonInstitute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom i.r.henderson@bham.ac.uk.
University of Birmingham · GB

Funding

Biotechnology and Biological Sciences Research CouncilMedical Research Council G1002093
6 · The paper itself

Abstract

Transposon-directed insertion site sequencing (TraDIS) is a high-throughput method coupling transposon mutagenesis with short-fragment DNA sequencing. It is commonly used to identify essential genes. Single gene deletion libraries are considered the gold standard for identifying essential genes. Currently, the TraDIS method has not been benchmarked against such libraries, and therefore, it remains unclear whether the two methodologies are comparable. To address this, a high-density transposon library was constructed in

Indexed as

Genes, EssentialGenome, BacterialComputational BiologyDNA Transposable ElementsEscherichia coli K12Molecular BiologyMutagenesis, InsertionalSequence Analysis, DNADNA Transposable ElementsEscherichia coligenomicstn-seqTraDIS

Identifiers

PMID29463657
PMCPMC5821084
OpenAlexW2784338063

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.