Workflows

What is a Workflow?
407 Workflows visible to you, out of a total of 450
Stable

Cite with Zenodo nf-test

Nextflow run with conda ...

Type: Nextflow

Creators: Huihai Wu, Irene Papatheodorou, Ashleigh Lister, Iain Macaulay, Katie Long

Submitter: Huihai Wu

Stable

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Nextflow run with conda ...

Type: Nextflow

Creators: Huihai Wu, Irene Papatheodorou, Yuxuan Lan, David Swarbreck

Submitter: Huihai Wu

Stable

AnnoOddities

AnnoOddies is a Python utility for detecting, identifying and characterising oddities in genome annotations. It parses and integrates statistics from multiple tools - including AGAT, Mikado, and GFFread, to generate a harmonised set of extended metrics that help assess annotation quality and highlight potential anomalies within genome annotations.

In addition ...

Type: Python

Creators: Gemy Kaithakottil, David Swarbreck

Submitter: Gemy Kaithakottil

nf-core CI docs

Nextflow [![run with ...

Stable

GitHub Actions CI Status GitHub Actions Linting StatusCite with Zenodo ...

Type: Nextflow

Creators: Marek Cmero, Pradeep Rajasekhar, WEHI SODA Hub Technical Team, Ishrat Zaman, Raymond Yip

Submitter: Marek Cmero

Stable

Finds Sentinel-2 products on Copernicus using filtering parameters and performs band calculation on retrieved Sentinel-2 products to evaluate algae bloom for water quality assessment.

Type: Common Workflow Language

Creator: Francis Charette-Migneault

Submitter: Francis Charette-Migneault

Stable

This workflows contains a pipeline in Scipion that performs the following steps:

  1. Import atomic structure: introduces a protein atomic structure in the pipeline as receptor.

  2. Receptor preparation: uses bioPython to prepare the receptor structure, removing waters, adding hydrogens and removing unnecessary chains if asked. Also, uses PDBFixer to optimize the structure if selected.

  3. Protein pocket search: uses 3 different software (P2Rank, AutoSite and FPocket) for predicting the receptor ...

Type: Scipion

Creators: None

Submitter: Daniel Del Hoyo

Anesthesia and Neurocritical Care Medicine

Type: BioCompute Object

Creators: None

Submitter: Fangfang Li

Stable

Learning Objectives

  • How to build complex queries using the IDR searcher to retrieve data from the Image Data Resource (IDR)
  • How to load binary data from IDR using its Python API

Launch

This notebook can be launched using Google Colab.

This instance of the HANAMI Reproducibility Workflow executed 22 members of the NICAM-DC model running the ICOMEX_JW test with 10 MPI ranks.

Its purpose was to test the ability of COMPSs in handling the execution of multiple concurrent MPI processes with a climate model in two nodes of MareNostrum 5.

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