Workflows

What is a Workflow?
1489 Workflows visible to you, out of a total of 1587
Stable

Pipeface

Overview

Pipefaceee.

Nextflow pipeline to process long read ONT and/or pacbio HiFi data.

Workflow

Singleton

%%{init: {'theme':'dark'}}%% 
flowchart LR 

input_data("Input data: ONT fastq.gz and/or ONT fastq and/or ONT uBAM and/or pacbio HiFi uBAM") 
merging{{"Merge runs (if needed)"}} 
alignment{{"bam to fastq conversion (if needed), alignment, sorting"}} 
depth{{"Calculate alignment depth"}} 
snp_indel_calling{{"SNP/indel
...

Type: Nextflow

Creators: Leah Kemp, Andre Reis, Ira Deveson, Kisaru Liyanage, Matthew Downton, Hardip Patel, Kirat Alreja, This is a highly collaborative project, with many contributions from the Genomic Technologies Lab. Notably, Dr Andre Reis and Dr Ira Deveson are closely involved in the development of this pipeline. Optimisations involving DeepVariant and DeepTrio have been contributed by Dr Kisaru Liyanage and Dr Matthew Downton from the National Computational Infrastructure, with support from Australian BioCommons as part of the Workflow Commons project. Haploid-aware mode has been contributed by Dr Hardip Patel & Kirat Alreja from the National Centre for Indigenous Genomics. The installation and hosting of software used in this pipeline has and continues to be supported by the Australian BioCommons Tools and Workflows project (if89).

Submitter: Leah Kemp

DOI: 10.48546/workflowhub.workflow.1888.1

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.

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 Flux in handling the execution of multiple concurrent MPI processes with a climate model in two nodes of MareNostrum ...

A workflow to show how material from DaSch can be processed in Galaxy. The example used is a optical character recognition of a German newspaper from DaSch which will be made machine-readable, cleaned, stripped of punctuation and visualised in a Wordcloud.

Type: Galaxy

Creators: Johannes Nussbaum, Daniela Schneider

Submitter: Łukasz Opioła

Stable

Workflow for short paired end reads quality control, trimming and filtering. Multiple paired datasets will be merged into single paired dataset. Summary:

  • Sequali QC on raw data files
  • fastp for read quality trimming
  • BBduk for phiX and rRNA filtering (optional)
  • Filter human reads using Hostile (optional)
  • Custom read filtering using Hostile (optional)
  • Sequali QC on filtered (merged) data

Other UNLOCK workflows on WorkflowHub: https://workflowhub.eu/projects/16/workflows?view=default ...

Type: Common Workflow Language

Creators: Bart Nijsse, Jasper Koehorst, Changlin Ke

Submitter: Bart Nijsse

Workflow for the Galaxy Training Network tutorial "Hybrid genome assembly - Nanopore and Illumina"

Associated Tutorial

This workflows is part of the tutorial Hybrid genome assembly - Nanopore and Illumina, available in the GTN

Features

Type: Galaxy

Creators: None

Submitter: GTN Bot

Stable

3D genome builder (3DGB)

3D genome builder (3DGB) is a workflow to build 3D models of genomes from HiC raw data and to integrate omics data on the produced models for further visual exploration. 3DGB bundles HiC-Pro, PASTIS and custom Python scripts into a unified Snakemake workflow with limited inputs (see Preparing Required Files). 3DGB produces ...

Type: Snakemake

Creators: None

Submitter: Pierre Poulain

Stable

ENA Reads & Assembly Submission Workflow

Originally developed within the EVORA project, this two-step Galaxy workflow streamlines submissions to the European Nucleotide Archive (ENA). The workflow first submits raw sequencing reads via the Galaxy ENA upload tool, then submits assembled sequences using the Galaxy ENA Webin CLI tool. The process is fully interactive and GUI-driven while retaining ENA’s required validations ...

This workflow encodes the top-ranking predicted pathways from the previous workflow into plasmids intended to be expressed in the specified organism. Assembly methods are Gibson, Golden or Ligation Chain Reaction.

Type: Galaxy

Creators: None

Submitter: ramiz khaled

Annotation: Evaluating and ranking a set of pathways based on multiple metrics. Given a set of pathways generated by RetroPath2.0, this workflow informs the user as to the theoretically best performing ones based on the four criteria (target product flux, thermodynamic feasibility, pathway length, and enzyme availability).

Type: Galaxy

Creator: BioRetroSynth

Submitter: ramiz khaled

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