Journal article
Learning and teaching biological data science in the Bioconductor community
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 803.1KB, Terms of use)
-
(Preview, Other, pdf, 177.1KB, Terms of use)
-
- Publisher copy:
- 10.1371/journal.pcbi.1012925
Authors
- Publisher:
- Public Library of Science
- Journal:
- PLoS Computational Biology More from this journal
- Volume:
- 21
- Issue:
- 4
- Article number:
- e1012925
- Publication date:
- 2025-04-22
- DOI:
- EISSN:
-
1553-7358
- ISSN:
-
1553-734X
- Language:
-
English
- Source identifiers:
-
2880178
- Deposit date:
-
2025-04-22
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.
If you are the owner of this record, you can report an update to it here: Report update to this record