Workflows

What is a Workflow?
492 Workflows visible to you, out of a total of 492

Short paired-end read analysis to provide quality analysis, read cleaning and taxonomy assignation

Type: Galaxy

Creators: ABRomics , Pierre Marin, Clea Siguret, abromics-consortium

Submitter: WorkflowHub Bot

Process argo data with the Pangeo Ecosystem and visualise them with Ocean Data View (ODV)

Type: Galaxy

Creator: Marie Jossé

Submitter: Marie Jossé

Secondary metabolite biosynthetic gene cluster (SMBGC) Annotation using Neural Networks Trained on Interpro Signatures

Type: Galaxy

Creator: Marie Jossé

Submitter: Marie Jossé

Scaffolding with Bionano

Scaffolding using Bionano optical map data

Inputs

  1. Bionano data [cmap]
  2. Estimated genome size [txt]
  3. Phased assembly generated by Hifiasm [gfa1]

Outputs

  1. Scaffolds
  2. Non-scaffolded contigs
  3. QC: Assembly statistics
  4. QC: Nx plot
  5. QC: Size plot

Type: Galaxy

Creator: Galaxy, VGP

Submitter: WorkflowHub Bot

This workflow

  • Reconstruct phylogeny (insert fragments in a reference)
  • Alpha rarefaction analysis
  • Taxonomic analysis

Type: Galaxy

Creators: Debjyoti Ghosh, Helmholtz-Zentrum für Umweltforschung - UFZ

Submitter: WorkflowHub Bot

This workflow takes a cell-type-annotated AnnData object (processed with SnapATAC2) and performs peak calling with MACS3 on the cell types. Next, a cell-by-peak matrix is constructed and differential accessibility tests are performed for comparison of either two cell types or one cell type with a background of all other cells. Lastly, differentially accessible marker regions for each cell type are identified.

Type: Galaxy

Creator: Timon Schlegel

Submitter: Timon Schlegel

This Workflow takes a dataset collection of single-cell ATAC-seq fragments and performs:

  • preprocessing
  • filtering
  • concatenation
  • dimension reduction
  • batch correction (with Harmony and optionally Scanorama and MNC-correct)
  • leiden clustering
  • new SnapATAC2 version: from 2.5.3 to 2.6.4

Type: Galaxy

Creators: None

Submitter: Timon Schlegel

Workflow for Single-cell ATAC-seq standard processing with SnapATAC2. This workflow takes a fragment file as input and performs the standard steps of scATAC-seq analysis: filtering, dimension reduction, embedding and visualization of marker genes with SnapATAC2. Finally, the clusters are manually annotated with the help of marker genes. In an alternative step, the fragment file can also be generated from a BAM file.

  • newer Version: Updated SnapATAC2 version from 2.5.3 to 2.6.4

Type: Galaxy

Creator: Timon Schlegel

Submitter: Timon Schlegel

Nanopore datasets analysis - Phylogenetic Identification - antibiotic resistance genes detection and contigs building

Type: Galaxy

Creators: Engy Nasr, Bérénice Batut, Paul Zierep

Submitter: WorkflowHub Bot

DOI: 10.48546/workflowhub.workflow.1062.1

Microbiome - QC and Contamination Filtering

Type: Galaxy

Creators: Bérénice Batut, Engy Nasr, Paul Zierep

Submitter: WorkflowHub Bot

DOI: 10.48546/workflowhub.workflow.1061.1

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