SPEEDING-UP-SCIENCE-WORKSHOPS

"Speeding up Science" is a series of workshops focused on developing application-specific Jupyter notebooks which are executable/launchable via Binder. The goal of these workshops is to "reverse engineer" common data visualization approaches used for biological data analysis and commonly published in scientific journal articles (heatmaps, read/OTU summaries, etc... Compile reproducible code workflows for the three common environmental -Omics approaches (metabarcoding, metagenomics, or metatranscriptomics). Jupyter notebooks will contain functional code and customizable parameters (with documentation/explanation) that users can adapt and deploy on their own data sets, assuming import of "standard" data formats that are typically generated during standard -Omics pipelines (e.g. FASTQ files of reads/contigs, OTU tables for metabarcoding).