This blog covers some key concepts and practical solutions for tackling the question of compute costs incurred by running workflows, which are typically the hardest to predict among the various types of cloud costs.
We've mentioned the AnVIL project a number of times in recent blog posts — covering topics such as Dockstore, RStudio, Galaxy, and DRS URIs — so it feels like it's high time that we gave you some more context. Specifically, we thought it might be useful to reiterate the key goals of the AnVIL project and explain briefly how Terra fits in with the other AnVIL components.
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.
Terra offers an assortment of cloud environments pre-configured for interactive analysis with popular tools and packages. In response to popular demand, we recently updated Terra's R-based notebook environments to include the latest version of Seurat, a widely-used R package for multimodal single-cell analysis.
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Terra is developed by the Broad Institute of MIT and Harvard
in collaboration with Microsoft and Verily.
Terra is developed by the
Broad Institute of MIT and Harvard in collaboration with Microsoft and
Verily Life Sciences.
