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

Authors :
Justin Gibbons
Krishna Sharma
Omkar Dokur
Luis Tanon Reyes
Atm Golam Bari
Guy W. Dayhoff
Audrey Freischel
Deborah Cragun
Renee Fonseca
Ben Busby
Swamy R. Adapa
Lindsey Fiedler
Segun Fatumo
Douglas M. Franz
Linh M. Duong
Gloria C. Ferreira
Jenna Oberstaller
Minh Pham
Chengqi Wang
Luciano Enrique Laratelli
Chang Li
Xiaoming Liu
Thomas Keller
Rays H. Y. Jiang
Source :
F1000Research
Publication Year :
2019
Publisher :
F1000 Research Limited, 2019.

Abstract

Background: Basic and clinical scientific research at the University of South Florida (USF) have intersected to support a multi-faceted approach around a common focus on rare iron-related diseases. We proposed a modified version of the National Center for Biotechnology Information’s (NCBI) Hackathon-model to take full advantage of local expertise in building “Iron Hack”, a rare disease-focused hackathon. As the collaborative, problem-solving nature of hackathons tends to attract participants of highly-diverse backgrounds, organizers facilitated a symposium on rare iron-related diseases, specifically porphyrias and Friedreich’s ataxia, pitched at general audiences. Methods: The hackathon was structured to begin each day with presentations by expert clinicians, genetic counselors, researchers focused on molecular and cellular biology, public health/global health, genetics/genomics, computational biology, bioinformatics, biomolecular science, bioengineering, and computer science, as well as guest speakers from the American Porphyria Foundation (APF) and Friedreich’s Ataxia Research Alliance (FARA) to inform participants as to the human impact of these diseases. Results: As a result of this hackathon, we developed resources that are relevant not only to these specific disease-models, but also to other rare diseases and general bioinformatics problems. Within two and a half days, “Iron Hack” participants successfully built collaborative projects to visualize data, build databases, improve rare disease diagnosis, and study rare-disease inheritance. Conclusions: The purpose of this manuscript is to demonstrate the utility of a hackathon model to generate prototypes of generalizable tools for a given disease and train clinicians and data scientists to interact more effectively.

Details

Language :
English
ISSN :
20461402
Volume :
8
Database :
OpenAIRE
Journal :
F1000Research
Accession number :
edsair.doi.dedup.....e84cf2849652197e8c94b1f8f363604b