The Human Toxome Collaboratorium: A Shared Environment for Multi-Omic Computational Collaboration within a Consortium

Area of Science:

• Toxicology
• Computational Biology
• Bioinformatics

Background:

• Modernizing toxicity testing requires advanced computational approaches.
• The Human Toxome Project aims to map toxicity pathways, using endocrine disruption as a model.
• Multi-institutional, multi-omic data present significant management and analysis challenges.

Purpose of the Study:

• To address computational collaboration difficulties in large-scale, multi-institutional toxicity research.
• To develop a shared computational environment supporting diverse workflows and evolving research goals.
• To enhance data reproducibility and reusability in complex toxicological studies.

Main Methods:

• Development and management of The Human Toxome Collaboratorium, a cloud-hosted computational environment.
• Integration of commercial, open-source, and custom applications within a virtual desktop interface.
• Utilizing third-party cloud services to host a shared computational platform for geographically dispersed researchers.

Main Results:

• The Human Toxome Collaboratorium provides a consistent computational environment for heterogeneous data analysis.
• The platform accommodates diverse workflows and adapts to evolving research methodologies.
• Successfully facilitated computational collaboration across multiple institutions for toxicity pathway mapping.

Conclusions:

• The Human Toxome Collaboratorium offers a novel solution for distributed, multi-omic research.
• Cloud-based computational environments can effectively address challenges in large-scale scientific collaboration.
• The Collaboratorium model has the potential to increase the reproducibility and reusability of findings in complex biological studies.