There are 7 repositories under reproducible-science topic.
A DSL for data-driven computational pipelines
Singularity has been renamed to Apptainer as part of us moving the project to the Linux Foundation. This repo has been persisted as a snapshot right before the changes.
rrtools: Tools for Writing Reproducible Research in R
A workflow for reproducible and open scientific articles
Create powerful Hydra applications without the yaml files and boilerplate code.
A curated list of reproducible research case studies, projects, tutorials, and media
Package an R workspace and all dependencies as a Docker container
Papers with code for single cell related papers
High performance spatial analysis in a web browser and across programming languages and hardware architectures
Log shell-commands and used files. Snapshot executed scripts. Fully automatic.
The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing
Data Analysis Workflows & Reproducibility Learning Resources
SEER, reimplemented in python 🐍🔮
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 products and their executions.
List of Reproducible Audio Research Papers
Ten Simple Rules for Writing Dockerfiles for Reproducible Data Science
Source code for the CERN Analysis Preservation portal
Reproducible Science: what, why, how
:microscope: Empirical CLI
unit-testing for a collection of jupyter notebooks using nbconvert
Textbook that provides JavaScript and Python code to create open reproducible remote sensing analyses and workflows in Google Earth Engine.
This is the repository for the Literate Programming Workshop
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.