Workflows

What is a Workflow?
844 Workflows visible to you, out of a total of 923

Code for the high risk autism phenotype paper

MIT license

Much of the code in this repo originated from ASD High Risk Endophenotype Code Supplement and was written by Sebastian Urchs and Hien Nguyen.

Data availability

All data to reproduce the analysis can be downloaded from DOI ...

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Type: Nextflow

Creators: @praveenraj2018 , @praveenraj2018

Submitter: WorkflowHub Bot

Work-in-progress

Digitial Twin Component for Earthquakes (DTC-E) WorkFlow 1 (WF7501) uses new data to create a multi-scale model of the Earth, which is used to update the REVEAL/CSEMv3 velocity model. The WF7501 workflow models an inversion-based update process for CSEMv3 (Computational Seismic Earth Model). Below is a simple explanation of the STEPs:

  • ST750101 - Data Catalog Update: Collects external data sources and updates the database for further processing.
  • ST750102 - Inversion Setup: Configures ...

Type: Common Workflow Language

Creator: Johannes Kemper

Submitter: Johannes Kemper

Work-in-progress

Digitial Twin Component for Earthquakes (DTC-E) WorkFlow 2 (WF7502) generates synthetic shaking simulations (shakemaps) for seismic sources at different time scales, and automatically incorporates new data as it becomes available.

The workflow consists of multiple steps (ST), datasets (DT), and software services (SS). Below is a simplified breakdown:

Data Ingestion & Preprocessing

  • ST750201: Assimilates real-time earthquake data from external sources.
  • ST750202: Extracts earthquake ...

Type: Common Workflow Language

Creators: Johannes Kemper, Cedric Bhihe, Georgina Díez

Submitter: Johannes Kemper

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Type: Nextflow

Creators: No author provided, Hadrien Gourlé, Daniel Straub, Sabrina Krakau

Submitter: WorkflowHub Bot

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Type: Nextflow

Creators: Daniel Straub, Alexander Peltzer

Submitter: WorkflowHub Bot

Work-in-progress

AnnoAudit - Annotation Auditor

AnnoAudit is a robust Nextflow pipeline designed to evaluate the quality of genomic annotations through a multifaceted approach.

Overview of the workflow

The workflow assess the annotation quality based on different criteria:

  • Protein evidence support
  • RNASeq evidence support
  • Statistics of the predictions (i.e., gene length, exon number, etc.)
  • Ortholog analysis (BUSCO, OMArk)

Input data

  • Reference genome genome.[.fna, .fa, .fasta]
  • Annotation ...

Type: Nextflow

Creator: Phuong Doan

Submitter: Phuong Doan

DOI: 10.48546/workflowhub.workflow.1330.1

Stable

Prostate cancer classification workflow

This workflow segments tissue regions and classifies prostate cancer on H&E whole slide images, using AI. It consists of three steps:

  1. low-resolution tissue segmentation to select areas for further processing;

  2. high-resolution tissue segmentation to refine borders - it uses step 1 as input;

  3. high-resolution normal/cancer classification - it uses step 1 as input.

Type: Common Workflow Language

Creator: Mauro Del Rio

Submitter: Simone Leo

Stable

Tissue segmentation workflow

This workflow performs tissue segmentation on H&E whole slide images using AI.

Type: Common Workflow Language

Creator: Mauro Del Rio

Submitter: Simone Leo

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Type: Nextflow

Creators: None

Submitter: WorkflowHub Bot

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