Workflows

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738 Workflows visible to you, out of a total of 793
Pangeo 101 for everyone - introduction to Xarray
Work-in-progress

Abstract CWL Automatically generated from the Galaxy workflow file: GTN 'Pangeo 101 for everyone - Introduction to Xarray'.

In this tutorial, we analyze particle matter < 2.5 μm/m3 data from Copernicus Atmosphere Monitoring Service to understand Xarray Galaxy Tools:

  • Understand how an Xarray dataset is organized;
  • Get metadata from Xarray dataset such as variable names, units, coordinates (latitude, longitude, level), etc;
  • Plot an Xarray dataset on a geographical map and learn to customize ...

Type: Galaxy

Creators: None

Submitter: Anne Fouilloux

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gromacs-dctmd/main

GROMACS dcTMD free energy calculation

Perform an ensemble of targeted MD simulations of a user-specified size using the GROMACS PULL code and calculate dcTMD free energy and friction profiles for the resulting dissocation pathway. Note that pathway separation is not performed by the workflow; the user is responsible for checking the ensemble themselves.

The input protein (PDB) and ligand (SDF) files provided are parameterized by the 'Protein-ligand complex parameterization' subworkflow.

Note ...

Type: Galaxy

Creator: Simon Bray

Submitter: WorkflowHub Bot

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protein-ligand-complex-parameterization/main

Protein-ligand complex parameterization

Parameterizes an input protein (PDB) and ligand (SDF) file prior to molecular dynamics simulation with GROMACS.

This is a simple workflow intended for use as a subworkflow in more complex MD workflows. It is used as a subworkflow by the GROMACS MMGBSA and dcTMD workflows.

Type: Galaxy

Creator: Simon Bray

Submitter: WorkflowHub Bot

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sars-cov-2-ont-artic-variant-calling/COVID-19-ARTIC-ONT

COVID-19: variation analysis on ARTIC ONT data

This workflow for ONT-sequenced ARTIC data is modeled after the alignment/variant-calling steps of the ARTIC pipeline. It performs, essentially, the same steps as that pipeline’s minion command, i.e. read mapping with minimap2 and variant calling with medaka. Like the Illumina ARTIC workflow it uses ivar for primer trimming. Since ONT-sequenced reads have a much ...

Type: Galaxy

Creator: Wolfgang Maier

Submitter: WorkflowHub Bot

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sars-cov-2-se-illumina-wgs-variant-calling/COVID-19-SE-WGS-ILLUMINA

COVID-19: variation analysis on WGS SE data

This workflows performs single end read mapping with bowtie2 followed by sensitive variant calling across a wide range of AFs with lofreq and variant annotation with snpEff 4.5covid19.

Type: Galaxy

Creator: Wolfgang Maier

Submitter: WorkflowHub Bot

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sars-cov-2-pe-illumina-wgs-variant-calling/COVID-19-PE-WGS-ILLUMINA

COVID-19: variation analysis on WGS PE data

This workflows performs paired end read mapping with bwa-mem followed by sensitive variant calling across a wide range of AFs with lofreq and variant annotation with snpEff 4.5covid19.

Type: Galaxy

Creator: Wolfgang Maier

Submitter: WorkflowHub Bot

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Investigation of lockdown effect on air quality between January 2019 to May 2021.
Stable

This workflow extracts 5 different time periods e.g. January- June 2019, 2020 and 2021, July-December 2019 and 2020 over a single selected location. Then statistics (mean, minimum, maximum) are computed. The final products are maximum, minimum and mean.

Type: Galaxy

Creators: None

Submitter: Anne Fouilloux

DOI: 10.48546/workflowhub.workflow.251.1

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OpenEBench TCGA Cancer Driver Genes benchmarking workflow
Stable

Description

The workflow takes an input file with Cancer Driver Genes predictions (i.e. the results provided by a participant), computes a set of metrics, and compares them against the data currently stored in OpenEBench within the TCGA community. Two assessment metrics are provided for that predictions. Also, some plots (which are optional) that allow to visualize the performance of the tool are generated. The workflow consists in three standard steps, defined by OpenEBench. The tools needed ...

Type: Nextflow

Creators: José Mª Fernández, Asier Gonzalez-Uriarte, Javier Garrayo-Ventas

Submitter: Laura Rodriguez-Navas

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De novo digitisation
Work-in-progress
No description specified

Type: Galaxy

Creators: None

Submitter: Paul Brack

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Diabetes related genes expressed in pancreas
Stable

Summary

This notebook shows how to integrate genomic and image data resources. This notebook looks at the question Which diabetes related genes are expressed in the pancreas?

Steps:

  • Query humanmine.org, an integrated database of Homo sapiens genomic data using the intermine API to find the genes.
  • Using the list of found genes, search in the Image Data Resource (IDR) for images linked to the genes, tissue and disease.

We use the intermine API and the IDR API

The notebook can be launched ...

Type: Jupyter

Creator: Jean-Marie Burel

Submitter: Jean-Marie Burel

DOI: 10.48546/workflowhub.workflow.242.1

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