Collaborative analysis of genomic data: vision and challenges
Abstract
The cost of DNA sequencing has resulted in a surge of genetic data being utilised to improve scientific research, clinical procedures, and healthcare delivery in recent years. Since the human genome can uniquely identify an individual, this characteristic also raises security and privacy concerns. In order to balance the risks and benefits, governance mechanisms including regulatory and ethical controls have been established, which are prone to human errors and create hindrance for collaboration. Over the past decade, technological methods are also catching up that can support critical discoveries responsibly. In this paper, we explore regulations and ethical guidelines and propose our visions of secure/private genomic data storage/processing/sharing platforms. Then, we present some available techniques and a conceptual system model that can support our visions. Finally, we highlight the open issues that need further investigation.
Cite
@article{arxiv.2202.04841,
title = {Collaborative analysis of genomic data: vision and challenges},
author = {Sara Jafarbeiki and Raj Gaire and Amin Sakzad and Shabnam Kasra Kermanshahi and Ron Steinfeld},
journal= {arXiv preprint arXiv:2202.04841},
year = {2022}
}
Comments
This is an accepted paper and it is going to appear in the Proceedings of the 2021 IEEE International Conference on Collaboration and Internet Computing (CIC 2021)