Evidence map›Paper›PMID 33623825›Full record

ArticleSynthetic biology (Oxford, England)2021

A biofoundry workflow for the identification of genetic determinants of microbial growth inhibition.

Alaster D Moffat, Adam Elliston, Nicola J Patron, Andrew W Truman, Jose A Carrasco Lopez

Open access · goldAbstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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 2 institutions in 1 country.

Alaster D MoffatDepartment of Molecular Microbiology, John Innes Centre, Norwich Research Park, Norwich, UK.ORCID 0000-0002-1464-2325
Adam EllistonDepartment of Engineering Biology, Earlham Institute, Norwich Research Park, Norwich, UK.
Nicola J PatronDepartment of Engineering Biology, Earlham Institute, Norwich Research Park, Norwich, UK.ORCID 0000-0002-8389-1851
Andrew W TrumanDepartment of Molecular Microbiology, John Innes Centre, Norwich Research Park, Norwich, UK.ORCID 0000-0001-5453-7485
Jose A Carrasco LopezDepartment of Engineering Biology, Earlham Institute, Norwich Research Park, Norwich, UK.ORCID 0000-0003-3975-4961
Norwich Research Park · GBJohn Innes Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofoundries integrate high-throughput software and hardware platforms with synthetic biology approaches to enable the design, execution and analyses of large-scale experiments. The unique and powerful combination of laboratory infrastructure and expertise in molecular biology and automation programming, provide flexible resources for a wide range of workflows and research areas. Here, we demonstrate the applicability of biofoundries to molecular microbiology, describing the development and application of automated workflows to identify the genetic basis of growth inhibition of the plant pathogen

Indexed as

automated testing workflowbiocontrolbiofoundryPseudomonasStreptomyces scabies

Identifiers

PMID33623825
PMCPMC7889406
OpenAlexW3126486117

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.