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.

翻译：现代生物学研究日益数据密集化，导致对生物数据科学有效培训的需求不断增长。本文概述了Bioconductor项目（一个专注于组学数据分析的开源软件社区）内的关键资源与最佳实践。本指南为该领域的学习者和教育者提供了重要参考。