Iron Hack - A symposium/hackathon focused on porphyrias, Friedreich's ataxia, and other rare iron-related diseases

Gloria C Ferreira1, Jenna Oberstaller2, Renée Fonseca3

  • 1Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, MDC 7, Tampa, FL, 33612, USA.

F1000Research
|December 12, 2019
PubMed

Insights

The "Iron Hack" event successfully utilized a modified hackathon model to foster collaboration between diverse experts, generating valuable bioinformatics tools for rare iron-related diseases and improving data science and clinical interaction. This approach aids rare disease research and diagnosis.

Area of Science:

  • Bioinformatics
  • Rare Diseases
  • Computational Biology

Background:

  • University of South Florida research integrates basic and clinical science for rare iron-related diseases.
  • A modified National Center for Biotechnology Information (NCBI) Hackathon model, named "Iron Hack", was developed to leverage local expertise.
  • A symposium on porphyrias and Friedreich's ataxia was held for general audiences to explain rare iron-related diseases.

Purpose of the Study:

  • To demonstrate the utility of a hackathon model for generating generalizable rare disease tools.
  • To train clinicians and data scientists in more effective interaction.
  • To create prototypes for rare disease research and bioinformatics problems.

Main Methods:

  • The hackathon featured daily presentations from experts in various fields including genetics, bioinformatics, and bioengineering.
  • Guest speakers from the American Porphyria Foundation (APF) and Friedreich's Ataxia Research Alliance (FARA) shared the human impact of these diseases.
  • A collaborative, problem-solving approach attracted participants from diverse backgrounds.

Main Results:

  • Development of resources applicable to specific rare diseases and broader bioinformatics challenges.
  • Successful creation of collaborative projects within two and a half days.
  • Projects focused on data visualization, database construction, rare disease diagnosis improvement, and inheritance studies.

Conclusions:

  • The hackathon model is effective in generating prototypes of generalizable tools for rare diseases.
  • The "Iron Hack" initiative successfully trained clinicians and data scientists to interact more effectively.
  • This approach can accelerate the development of solutions for rare diseases and bioinformatics issues.

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