PANOPLY is a computational framework for applying statistical and machine learning algorithms to transform multi-omic data from cancer samples into biologically meaningful and interpretable results. In this post, D. R. Mani explains how his team is leveraging Terra to make PANOPLY accessible to a wide range of researchers.
We teamed up with the BRAIN Initiative Cell Census Network consortium to put together a hands-on workshop focused on helping researchers get started with key resources including the Neuroscience Multi-Omic Archive, Single Cell Portal, and Terra.
Last week I gave you a tour of the RStudio integration that we're building into Terra in the context of the AnVIL project, in collaboration with the Bioconductor team. This week I want to introduce you to the Galaxy integration, another great collaboration forged on the AnVIL that involves members of the core Galaxy team. [...]
Every year we run a workshop at the annual meeting of the American Society for Human Genetics, and it's a highlight of our year for many reasons. My favorite aspect of it is that we use the ASHG workshop to drive development of brand new educational materials and resources, and sometimes [...]