Evidence map›Paper›PMID 38127831›Full record

ReviewPLoS computational biology2023

Know-how of holding a Bioinformatics competition: Structure, model, overview, and perspectives.

Elvira C A Horácio, Lucas M de Carvalho, Gustavo G Pereira, Mayla C Abrahim, Mônica P Coelho, Deivid A De Jesus, Glen J Y García, Raquel C de Melo-Minardi, Sheila T Nagamatsu

Abstract readReview
In one paragraph

Review in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Elvira C A HorácioPostgraduate Program Genetics, Institute of Biological Sciences, Federal University of Minas Gerais, Minas Gerais, Brazil.ORCID 0000-0002-6005-855X
Lucas M de CarvalhoCenter for Computing in Engineering and Sciences, State University of Campinas, São Paulo, Brazil.ORCID 0000-0002-8766-0452
Gustavo G PereiraComputer Scientist, Franciscan University, Rio Grande do Sul, Brazil.
Mayla C AbrahimLaboratório de Tecnologia Imunológica, Instituto de Tecnologia em Imunobiológicos, Vice-Diretoria de Desenvolvimento Tecnológico, Bio-Manguinhos, Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil.
Mônica P CoelhoDivision of Clinical Immunology and Allergy, Medical Research Laboratory, School of Medicine - University of São Paulo, São Paulo, Brazil.
Deivid A De JesusGraduate Program in Genetics. Institute of Biology. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0002-4664-1116
Glen J Y GarcíaBioinformatics Graduate Program, Institute of Biological Sciences, Federal University of Minas Gerais, Minas Gerais, Brazil.
Raquel C de Melo-MinardiComputer Science Department, Institute of Exact Sciences, Federal University of Minas Gerais, Minas Gerais, Brazil.
Sheila T NagamatsuYale University, School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0002-4986-5094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The article presents a framework for a Bioinformatics competition that focuses on 4 key aspects: structure, model, overview, and perspectives. Structure represents the organizational framework employed to coordinate the main tasks involved in the competition. Model showcases the competition design, which encompasses 3 phases. Overview presents our case study, the League of Brazilian Bioinformatics (LBB) 2nd Edition. Finally, the section on perspectives provides a brief discussion of the LBB 2nd Edition, along with insights and feedback from participants. LBB is a biannual team competition launched in 2019 to promote the ongoing training of human resources in Bioinformatics and Computational Biology in Brazil. LBB aims to stimulate ongoing training in Bioinformatics by encouraging participation in competitions, promoting the organization of future Bioinformatics competitions, and fostering the integration of the Bioinformatics and Computational Biology community in the country, as well as collaboration among participants. The LBB 2nd Edition was launched in 2021 and featured 251 competitors forming 91 teams. Knowledge competitions promote learning, collaboration, and innovation, which are crucial for advancing scientific knowledge and solving real-world problems. In summary, this article serves as a valuable resource for individuals and organizations interested in developing knowledge competitions, offering a model based on our experience with LBB to benefit all levels of Bioinformatics trainees.

Indexed as

Computational BiologyBrazilHumans

Identifiers

PMID38127831
PMCPMC10735175

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.