Directory of tools and best practices for research reproducibility
-
Updated
Sep 10, 2021 - Python
Directory of tools and best practices for research reproducibility
Snakemake workflow for performing an RNA-seq analysis
Tracker is a CLI for easy creation of reproducible Robotics and ML research
A Python package based on the ASpecD framework for handling TREPR data.
Python components of the laboratory information system LabInform
Library to support combining jupyter notebooks and pydoit
Read-only mirror of libsncompress at GitLab.com
Easy way to add your python script's source code as image metadata
Code for "On Memorization in Probabilistic Deep Generative Models"
Python implementation of {global, multi-shifted, nested} GMRES variants.
Python framework for handling spectroscopic data focussing on reproducibility
Reproducible data science project analyzing a GPX file from the 2017 Mansfield Double Up mountain race in Stowe, Vermont.
From second generation sequencing reads to annotated bacterial genome
Data for the 2015 Wellcome Trust summer school in Bioinformatics
Snakemake workflow for downloading Ensembl reference genomes for use in downstream bioinformatics analyses
ENCORE: Enhancing Computational Reproducibility (Version 4.1)
⚗️ Aeromancy: A framework for performing reproducible AI and ML
Add a description, image, and links to the reproducible-science topic page so that developers can more easily learn about it.
To associate your repository with the reproducible-science topic, visit your repo's landing page and select "manage topics."