Evidence map›Paper›PMID 35350192›Full record

ArticleSynthetic biology (Oxford, England)2021

SynBio2Easy-a biologist-friendly tool for batch operations on SBOL designs with Excel inputs.

Tomasz Zieliński, Johnny Hay, Andrew Romanowski, Anja Nenninger, Alistair McCormick, Andrew J Millar

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

6 authors at 1 institution in 1 country.

Tomasz ZielińskiSynthSys & Institute of Molecular Plant Sciences, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0002-0194-5706
Johnny HayEPCC, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0001-9685-3718
Andrew RomanowskiSynthSys & Institute of Molecular Plant Sciences, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0003-0737-2408
Anja NenningerSynthSys & Institute of Molecular Plant Sciences, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
Alistair McCormickSynthSys & Institute of Molecular Plant Sciences, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0002-7255-872X
Andrew J MillarSynthSys & Institute of Molecular Plant Sciences, School of Biological Sciences, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0003-1756-3654
University of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M018040/1Wellcome Trust
6 · The paper itself

Abstract

Practical delivery of Findable, Accessible, Reusable and Interoperable principles for research data management requires expertise, time resource, (meta)data standards and formats, software tools and public repositories. The Synthetic Biology Open Language (SBOL2) metadata standard enables FAIR sharing of the designs of synthetic biology constructs, notably in the repository of the SynBioHub platform. Large libraries of such constructs are increasingly easy to produce in practice, for example, in DNA foundries. However, manual curation of the equivalent libraries of designs remains cumbersome for a typical lab researcher, creating a barrier to data sharing. Here, we present a simple tool SynBio2Easy, which streamlines and automates operations on multiple Synthetic Biology Open Language (SBOL) designs using

Indexed as

research data managementSBOLsoftware toolsspreadsheetSynBioHubsynthetic biology

Identifiers

PMID35350192
PMCPMC8944294
OpenAlexW4210794459

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.