Media Summary: The main motivation for this is to have a version controlled and containerised environment for engineering Recorded 04 May 2023. Johannes Köster of the Universität Duisburg-Essen presents "Transparent, reproducible, and adaptable ... Ensuring reproducibility is crucial for a successful scientific data

Snakemake Analysis Example - Detailed Analysis & Overview

The main motivation for this is to have a version controlled and containerised environment for engineering Recorded 04 May 2023. Johannes Köster of the Universität Duisburg-Essen presents "Transparent, reproducible, and adaptable ... Ensuring reproducibility is crucial for a successful scientific data Computational Genomics Summer Institute 2016 " In this Code Club, Pat shares how to visualize the structure of a Or biologists in order to understand it because well we use an

Johannes Köster (University of Duisburg-Essen, Germany) presents how to perform reproducible Data This webinar covers the core concepts required for making your first steps into reproducible Integrate Docker and Smakemake using just one line of code! 00:00 Introduction 00:25 $docker pull image 01:00 -v ...

Photo Gallery

snakemake analysis example
Johannes Köster - Transparent, reproducible, and adaptable data analysis with Snakemake
An introduction to Snakemake tutorial for beginners (CC248)
Reproducible data analysis with Snakemake
Alexander Schönhuth: "Snakemake: Reproducible and Scalable Data Analysis"
Transparent, adaptable, and reproducible data analysis with Snakemake
How to force Snakemake to rerun a rule and visualize a pipeline (CC257)
Reproducible Data Analysis with Snakemake
Reproducible Data Analysis with Snakemake
2017-06-09 ILLO - Snakemake
Introducing Snakemake
Snakemake - Reproducible and Scalable Bioinformatic Workflows
Sponsored
View Detailed Profile
snakemake analysis example

snakemake analysis example

The main motivation for this is to have a version controlled and containerised environment for engineering

Johannes Köster - Transparent, reproducible, and adaptable data analysis with Snakemake

Johannes Köster - Transparent, reproducible, and adaptable data analysis with Snakemake

Recorded 04 May 2023. Johannes Köster of the Universität Duisburg-Essen presents "Transparent, reproducible, and adaptable ...

An introduction to Snakemake tutorial for beginners (CC248)

An introduction to Snakemake tutorial for beginners (CC248)

Snakemake

Reproducible data analysis with Snakemake

Reproducible data analysis with Snakemake

Ensuring reproducibility is crucial for a successful scientific data

Alexander Schönhuth: "Snakemake: Reproducible and Scalable Data Analysis"

Alexander Schönhuth: "Snakemake: Reproducible and Scalable Data Analysis"

Computational Genomics Summer Institute 2016 "

Sponsored
Transparent, adaptable, and reproducible data analysis with Snakemake

Transparent, adaptable, and reproducible data analysis with Snakemake

Data

How to force Snakemake to rerun a rule and visualize a pipeline (CC257)

How to force Snakemake to rerun a rule and visualize a pipeline (CC257)

In this Code Club, Pat shares how to visualize the structure of a

Reproducible Data Analysis with Snakemake

Reproducible Data Analysis with Snakemake

Or biologists in order to understand it because well we use an

Reproducible Data Analysis with Snakemake

Reproducible Data Analysis with Snakemake

Johannes Köster (University of Duisburg-Essen, Germany) presents how to perform reproducible Data

2017-06-09 ILLO - Snakemake

2017-06-09 ILLO - Snakemake

2017-06-09 ILLO - Snakemake

Introducing Snakemake

Introducing Snakemake

Snakemake

Snakemake - Reproducible and Scalable Bioinformatic Workflows

Snakemake - Reproducible and Scalable Bioinformatic Workflows

This webinar covers the core concepts required for making your first steps into reproducible

Integrate Docker into your Snakemake pipeline (with one line of code!)

Integrate Docker into your Snakemake pipeline (with one line of code!)

Integrate Docker and Smakemake using just one line of code! 00:00 Introduction 00:25 $docker pull image 01:00 -v ...