Powering single-cell analyses in the browser withWebAssembly

We present kana, a web application for interactive single-cell 'omics data analysis in the browser.Like, literally, in the browser: kana leverages web technologies such as WebAssembly to efficiently perform the relevant computations on the user's machine, avoiding the need to provision and maintain a backend service.The application provides a streamlined one-click workflow for the main steps in a typical single-cell analysis, starting from a count matrix and finishing with marker detection.Results are presented in an intuitive web interface for further exploration and iterative analysis.