ncibtep@nih.gov

Bioinformatics Training and Education Program

The Galaxy Computational Workbench for Accessible, Reproducible, and Scalable Cancer Data Analyses

The Galaxy Computational Workbench for Accessible, Reproducible, and Scalable Cancer Data Analyses

 When: Dec. 4th, 2024 10:00 am - 11:00 am

Learning Level: Any

To Know

Where:
Online Webinar
Organizer:
CBIIT
Presented By:
Jeremy Goecks (Moffit Cancer Center)
This class has ended.

About this Class

Galaxy is a web-based computational workbench for analyzing and visualizing biomedical datasets that is used by thousands of scientists daily.

 

Galaxy enables accessible, reproducible, and scalable biomedical data science by any scientist regardless of their informatics expertise using only a web browser. There are >10,000 software analysis tools and visualizations integrated into Galaxy for analyzing genomic, transcriptomic, proteomic, metabolomic, microbiome, imaging, single-cell omics, and many other types of biomedical data.

 

Recently new analysis tools have been integrated to support emerging cancer data analyses focused on machine learning, spatial omics, and multimodal datasets. Galaxy is extremely flexible and can be run on a laptop, a local computing cluster, or a cloud computing platform.

 

Finally, Galaxy connects with important computational biomedical infrastructure, including NIH data repositories and data commons platforms such as the NCI CRDC and the NHGRI AnVIL.

 

For questions, please contact Daoud Meerzaman or Kayla Strauss.