arXiv Open Access 2024

Learning and teaching biological data science in the Bioconductor community

Jenny Drnevich Frederick J. Tan Fabricio Almeida-Silva Robert Castelo Aedin C. Culhane +13 lainnya

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Abstrak

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.

Topik & Kata Kunci

cs.CY q-bio.OT stat.AP

Penulis (18)

Jenny Drnevich

Frederick J. Tan

Fabricio Almeida-Silva

Robert Castelo

Aedin C. Culhane

Sean Davis

Maria A. Doyle

Ludwig Geistlinger

Andrew R. Ghazi

Susan Holmes

Leo Lahti

Alexandru Mahmoud

Kozo Nishida

Marcel Ramos

Kevin Rue-Albrecht

David J. H. Shih

Laurent Gatto

Charlotte Soneson

Format Sitasi

APA MLA BibTeX

Drnevich, J., Tan, F.J., Almeida-Silva, F., Castelo, R., Culhane, A.C., Davis, S. et al. (2024). Learning and teaching biological data science in the Bioconductor community. https://arxiv.org/abs/2410.01351

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓