CODE OCEAN BLOG
At Code Ocean, we’re thrilled and honored to work with brilliant scientists like Benjamin Haibe-Kains, Senior Scientist at Princess Margaret Cancer Center, Associate Professor at University of Toronto, and Scientific
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences Author(s): Charlotte Soneson Institute for Molecular Life Sciences, University of Zurich, Zurich, 8057, Switzerland; SIB Swiss Institute of Bioinformatics, University of
At Code Ocean our mission is to empower researchers with easy-to-use computational tools that make their work efficient, reproducible and collaborative and help them achieve faster and higher quality discoveries.
Publishers often argue that the industry has undergone a massive transformation in the last 20 years, moving smoothly, swiftly and effectively from print to digital. Yet our most vocal critics
RNA-Seq workflow: gene-level exploratory analysis and differential expression Author(s): Mike Love Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Department of Biostatistics, Harvard TH Chan School of Public
No Evidence for Voter Fraud: A Guide to Statistical Claims About the 2020 Election Author(s): Andrew C. Eggers University of Chicago Haritz Garro Stanford University Justin Grimmer Stanford University View
Monet: An open-source Python package for analyzing and integrating scRNA-Seq data using PCA-based latent spaces Author(s): Florian Wagner, Department of Medicine, University of Chicago View Capsule Read publication Environment Python