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Updated: May 10, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
Published on: September 25, 2021
Learning and teaching biological data science in the Bioconductor community
Jenny Drnevich1, Frederick J Tan2, Fabricio Almeida-Silva3,4
1Roy J. Carver Biotechnology Center, University of Illinois Urbana-Champaign, Champaign, Illinois, United States of America.
Abstract:
Modern biological research is increasingly data-intensive, leading to a growing demand for effective training in biological data science. In this article, we provide an overview of key resources and best practices available within the Bioconductor project-an open-source software community focused on omics data analysis. This guide serves as a valuable reference for both learners and educators in the field.
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