Evidence map›Paper›PMID 35051174›Full record

ArticlePLoS computational biology2022

Bringing bioinformatics to schools with the 4273pi project.

Stevie A Bain, Heleen Plaisier, Felicity Anderson, Nicola Cook, Kathryn Crouch, Thomas R Meagher, Michael G Ritchie, Edward W J Wallace, Daniel Barker

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. 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
0.7field-weighted citation impact, top 35% 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, 8 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

9 authors at 3 institutions in 1 country.

Stevie A BainInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-5641-2931
Heleen PlaisierInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Felicity AndersonInstitute for Cell Biology and SynthSys, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-8778-6779
Nicola CookCentre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, United Kingdom.ORCID 0000-0003-4462-0116
Kathryn CrouchWellcome Centre for Integrative Parasitology, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0001-9310-4762
Thomas R MeagherCentre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, United Kingdom.
Michael G RitchieCentre for Biological Diversity, School of Biology, University of St Andrews, St Andrews, United Kingdom.
Edward W J WallaceInstitute for Cell Biology and SynthSys, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-8025-6361
Daniel BarkerInstitute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-9255-8989
University of Edinburgh · GBUniversity of St Andrews · GBWellcome Centre for Molecular Parasitology · GB

Funding

Biotechnology and Biological Sciences Research Council BB/S018506/1Wellcome TrustWellcome Trust 204804/Z/16/ZWellcome Trust 208779/Z/17/Z
6 · The paper itself

Abstract

Over the last few decades, the nature of life sciences research has changed enormously, generating a need for a workforce with a variety of computational skills such as those required to store, manage, and analyse the large biological datasets produced by next-generation sequencing. Those with such expertise are increasingly in demand for employment in both research and industry. Despite this, bioinformatics education has failed to keep pace with advances in research. At secondary school level, computing is often taught in isolation from other sciences, and its importance in biological research is not fully realised, leaving pupils unprepared for the computational component of Higher Education and, subsequently, research in the life sciences. The 4273pi Bioinformatics at School project (https://4273pi.org) aims to address this issue by designing and delivering curriculum-linked, hands-on bioinformatics workshops for secondary school biology pupils, with an emphasis on equitable access. So far, we have reached over 180 schools across Scotland through visits or teacher events, and our open education resources are used internationally. Here, we describe our project, our aims and motivations, and the practical lessons we have learned from implementing a successful bioinformatics education project over the last 5 years.

Indexed as

Computational BiologyAdolescentCareer ChoiceFemaleHumansMaleSchoolsScotlandStudents

Identifiers

PMID35051174
PMCPMC8775354
OpenAlexW4205643949

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.