Publications by authors named "Illyoung Choi"

Article Synopsis
  • - Molecular Dynamics (MD) simulations help us understand how biomolecules change shape and interact, which is crucial for insights into their behavior and drug interactions.
  • - There's a need for an open access repository for storing and sharing these simulations, as currently, they are scattered and lack a consistent organization.
  • - MDRepo is introduced as a solution, offering a standardized way to contribute, analyze, and visualize MD simulations, built on the CyVerse infrastructure to handle large amounts of data efficiently.
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CyVerse, the largest publicly-funded open-source research cyberinfrastructure for life sciences, has played a crucial role in advancing data-driven research since the 2010s. As the technology landscape evolved with the emergence of cloud computing platforms, machine learning and artificial intelligence (AI) applications, CyVerse has enabled access by providing interfaces, Software as a Service (SaaS), and cloud-native Infrastructure as Code (IaC) to leverage new technologies. CyVerse services enable researchers to integrate institutional and private computational resources, custom software, perform analyses, and publish data in accordance with open science principles.

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Background: Scientists have amassed a wealth of microbiome datasets, making it possible to study microbes in biotic and abiotic systems on a population or planetary scale; however, this potential has not been fully realized given that the tools, datasets, and computation are available in diverse repositories and locations. To address this challenge, we developed iMicrobe.us, a community-driven microbiome data marketplace and tool exchange for users to integrate their own data and tools with those from the broader community.

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Background: Shotgun metagenomics provides powerful insights into microbial community biodiversity and function. Yet, inferences from metagenomic studies are often limited by dataset size and complexity and are restricted by the availability and completeness of existing databases. De novo comparative metagenomics enables the comparison of metagenomes based on their total genetic content.

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