fbpx

March 2021

AACR Journals Webinar: Why & How to Deliver Reproducible Analysis

We live in a world of ever increasing amounts of data, ever more complex research and novel analysis tools to turn all that data into information. Data analysis that could reasonably be done with spreadsheets and basic statistical analysis tools some years ago now requires far more advanced analysis pipelines, coding and visualization tools, as […]

AACR Journals Webinar: Why & How to Deliver Reproducible Analysis Read More »

Differential Analyses for RNA-seq Capsule

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 Zurich, Zurich, 8057, SwitzerlandMichael I. Love Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02210, USA: Department of Biostatistics, Harvard TH Chan

Differential Analyses for RNA-seq Capsule Read More »

What is a Compute Capsule™?

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. Our Compute Capsules™ are what make that mission a reality. Compute Capsules allow computational, bioinformatics and science teams to easily create, organize and share project

What is a Compute Capsule™? Read More »

Transforming Research Papers into Functional Tools

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 within academia frequently accuse the industry of being antiquated and failing to meet researchers’ needs, while many of our more recent attempts at innovation have,

Transforming Research Papers into Functional Tools Read More »

RNA-seq Capsule

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 Health, Boston, Massachusetts, USA Simon Anders Institute for Molecular Medicine Finland, Helsinki, Finland; European Molecular Biology Laboratory, Heidelberg, GermanyWolfgang Huber European Molecular Biology Laboratory, Heidelberg,

RNA-seq Capsule Read More »

Voter Fraud Capsule

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 Capsule Read publication Environment R Ubuntu Packages: randomForest4 stargazer, tidyverse, readstata Code R using RStudio Data Precinct level voter data in selected swing staes Results

Voter Fraud Capsule Read More »

Monet For Analyzing scRNA-Seq Data Capsule

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 Ubuntu Packages: Monet, Wget, Monet, Numpy, Pandas, Plotly, scikit-learn Code Python using Jupyter and Jupterlab Data Single cell gene expression data from human peripheral blood

Monet For Analyzing scRNA-Seq Data Capsule Read More »

Scroll to Top