AI Article Synopsis

  • The article outlines a framework for a Bioinformatics competition, focusing on four key areas: structure (organizational framework), model (competition design with three phases), overview (case study of the League of Brazilian Bioinformatics), and perspectives (participant feedback).
  • The League of Brazilian Bioinformatics (LBB), initiated in 2019, aims to enhance skills in Bioinformatics by fostering competition participation, community integration, and collaboration among teams.
  • The second edition of the LBB, launched in 2021, had 251 participants in 91 teams, demonstrating the value of knowledge competitions in driving learning and innovation in the field.

Article 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10735175PMC
http://dx.doi.org/10.1371/journal.pcbi.1011679DOI Listing

Publication Analysis

Top Keywords

lbb 2nd
12
2nd edition
12
bioinformatics
8
bioinformatics competition
8
structure model
8
model overview
8
overview perspectives
8
participants lbb
8
ongoing training
8
bioinformatics computational
8

Similar Publications

Agricultural by-products of sesame are promising bioresources in food processing. This study extracted lignin from the by-products of sesame oil production, namely, the capsules and straw of black and white sesame. Using acid, alkali, and ethanol methods, 12 distinct lignins were obtained to prepare biochar, aiming to investigate both the structural characteristics of lignin-based biochar (LBB) and its ability to remove benzo[a]pyrene (BaP) from sesame oil.

View Article and Find Full Text PDF
Article Synopsis
  • The article outlines a framework for a Bioinformatics competition, focusing on four key areas: structure (organizational framework), model (competition design with three phases), overview (case study of the League of Brazilian Bioinformatics), and perspectives (participant feedback).
  • The League of Brazilian Bioinformatics (LBB), initiated in 2019, aims to enhance skills in Bioinformatics by fostering competition participation, community integration, and collaboration among teams.
  • The second edition of the LBB, launched in 2021, had 251 participants in 91 teams, demonstrating the value of knowledge competitions in driving learning and innovation in the field.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!