🔬 Open, reproducible science using Make, RMarkdown and Pandoc
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Updated
Oct 9, 2014 - CSS
🔬 Open, reproducible science using Make, RMarkdown and Pandoc
Data for the 2015 Wellcome Trust summer school in Bioinformatics
From second generation sequencing reads to annotated bacterial genome
From second generation sequencing reads to variant calls
Simple example on how you can automate reproducible analyses using jupyter notebooks
Website designed to help you find the tool (or tools) that best matches your reproduciblity needs
Run SEER with fewer headaches
Highly experimental R package to use GNU `make` directly from RStudio.
📷 R package that supports the analysis of images annotations 📷
A presentation on best coding/data management practices based on my own experiences of scientific computing and data analysis and heavily borrowing from the recommendations of many others. View presentation at: https://edeno.github.io/Better-Science-Code
Benchmark problems in 2D and 3D for the elastic wave equation.
NOTE: This repo is archived. Please see https://github.com/benmarwick/rrtools for my current approach
From second generation sequencing reads to base counts
Reproducible scripts for (P. Carella et al) manuscript
🐳 Docker Image for STATegraEMS
Repository that hosts the course materials for the 2017 edition of Programming Practices for Research in Economics at the University of Zurich
Python implementation of {global, multi-shifted, nested} GMRES variants.
STATegra EMS: an Experiment Management System for complex next-generation omics experiments
VisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these produ…
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