Workflows

What is a Workflow?
558 Workflows visible to you, out of a total of 602
Work-in-progress

The workflow takes raw ONT reads and trimmed Illumina WGS paired reads collections, the ONT raw stats table (calculated from WF1) and the estimated genome size (calculated from WF1) to run NextDenovo and subsequently polish the assembly with HyPo. It produces collapsed assemblies (unpolished and polished) and runs all the QC analyses (gfastats, BUSCO, and Merqury).

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

Stable

The workflow takes raw ONT reads and trimmed Illumina WGS paired reads collections, and the estimated genome size and Max depth (both calculated from WF1) to run Flye and subsequently polish the assembly with HyPo. It produces collapsed assemblies (unpolished and polished) and runs all the QC analyses (gfastats, BUSCO, and Merqury).

Type: Galaxy

Creators: Diego De Panis, ERGA

Submitter: Diego De Panis

Stable

score-assemblies

A Snakemake-wrapper for evaluating de novo bacterial genome assemblies, e.g. from Oxford Nanopore (ONT) or Illumina sequencing.

The workflow includes the following programs:

...

Type: Snakemake

Creator: Peter Menzel

Submitter: Peter Menzel

DOI: 10.48546/workflowhub.workflow.786.1

Stable

ont-assembly-snake

A Snakemake wrapper for easily creating de novo bacterial genome assemblies from Oxford Nanopore (ONT) sequencing data, and optionally Illumina data, using any combination of read filtering, assembly, long and short read polishing, and reference-based polishing.

Included programs

read filtering assembly long read polishing short read polishing reference-based polishing
Filtlong
...

Type: Snakemake

Creator: Peter Menzel

Submitter: Peter Menzel

DOI: 10.48546/workflowhub.workflow.787.1

Work-in-progress

This project is about the automated quantification of wound healing in high-throughput microscopy scratch assays.

Type: Galaxy

Creator: Christian Tischer

Submitter: Yi Sun

Lysozyme in water full COMPSs application run at MareNostrum IV, using full dataset with two workers

Type: COMPSs

Creator: Rosa M Badia

Submitter: Raül Sirvent

PyCOMPSs implementation of Probabilistic Tsunami Forecast (PTF). PTF explicitly treats data- and forecast-uncertainties, enabling alert level definitions according to any predefined level of conservatism, which is connected to the average balance of missed-vs-false-alarms. Run of the Kos-Bodrum 2017 event test-case with 1000 scenarios, 8h tsunami simulation for each and forecast calculations for partial and full ensembles with focal mechanism and tsunami data updates.

PyCOMPSs implementation of Probabilistic Tsunami Forecast (PTF). PTF explicitly treats data- and forecast-uncertainties, enabling alert level definitions according to any predefined level of conservatism, which is connected to the average balance of missed-vs-false-alarms. Run of the Boumerdes-2003 event test-case with 1000 scenarios, 8h tsunami simulation for each and forecast calculations for partial and full ensembles with focal mechanism and tsunami data updates.

Stable

Mutation Free Energy Calculations using BioExcel Building Blocks (biobb)


Based on the official pmx tutorial.


This tutorial aims to illustrate how to compute a fast-growth mutation free energy calculation, step by step, using the BioExcel Building Blocks library (biobb). The particular example used is the Staphylococcal nuclease protein (PDB code 1STN), a small, minimal protein, appropriate for a short tutorial. ...

Stable

Automatic Ligand parameterization tutorial using BioExcel Building Blocks (biobb)


This tutorial aims to illustrate the process of ligand parameterization for a small molecule, step by step, using the BioExcel Building Blocks library (biobb). The particular example used is the Sulfasalazine protein (3-letter code SAS), used to treat rheumatoid arthritis, ulcerative colitis, and Crohn's disease.

OpenBabel and ACPype packages are used to **add hydrogens, energetically ...

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