**BioFlow-Insight** is a Python-based open-source command-line tool designed to automatically analyse Nextflow workflow code, gathering useful information, particularly in the form of visual graphs that illustrate the workflow's structure and its various steps. Additionally, it is capable of detecting certain programming errors and generates a RO-Crate JSON-LD file that describes the workflow.
**BioFlow-Insight** is a Python-based open-source command-line tool designed to automatically analyse Nextflow workflow code, gathering useful information, particularly in the form of visual graphs that illustrate the workflow's structure and its various steps. Additionally, it is capable of detecting certain programming errors and generates a RO-Crate JSON-LD file that describes the workflow.
**BioFlow-Insight** is easily installable as a CLI (see [here](#installing-via-pip)). It is also freely accessible as a free [web service](https://bioflow-insight.pasteur.cloud/). For more information and to start using BioFlow-Insight, visit [here](https://bioflow-insight.pasteur.cloud/)(https://bioflow-insight.pasteur.cloud/).
**BioFlow-Insight** is easily installable as a CLI (see [here](https://pypi.org/project/bioflow-insight/)). It is also freely accessible as a free [web service](https://bioflow-insight.pasteur.cloud/). For more information and to start using BioFlow-Insight, visit [here](https://bioflow-insight.pasteur.cloud/)(https://bioflow-insight.pasteur.cloud/).
## Table of Contents
## Table of Contents
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@@ -71,7 +72,6 @@ The 3 different graphs generated by **BioFlow-Insight** are :
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@@ -71,7 +72,6 @@ The 3 different graphs generated by **BioFlow-Insight** are :
In this example, we are going to use the **BioFlow-Insight** tool to analyse the rna-seq workflow. After installing **BioFlow-Insight** via pip, and cloning the the rnaseq-nf repository. Simply run this command line :
In this example, we are going to use the **BioFlow-Insight** tool to analyse the rna-seq workflow. After installing **BioFlow-Insight** via pip, and cloning the the rnaseq-nf repository. Simply run this command line :