Workflows

What is a Workflow?
604 Workflows visible to you, out of a total of 648

This workflow processes the CMO fastqs with CITE-seq-Count and include the translation step required for cellPlex processing. In parallel it processes the Gene Expresion fastqs with STARsolo, filter cells with DropletUtils and reformat all outputs to be easily used by the function 'Read10X' from Seurat.

Run velocyto to get loom with counts of spliced and unspliced. It will extract the 'barcodes' from the bundled outputs.

Type: Galaxy

Creator: Lucille Delisle

Submitter: WorkflowHub Bot

No description specified

Type: Galaxy

Creator: VGP, Galaxy

Submitter: WorkflowHub Bot

Assemble long reads with Flye, then view assembly statistics and assembly graph

Type: Galaxy

Creator: Anna Syme

Submitter: WorkflowHub Bot

This workflow performs segmentation and counting of cell nuclei using fluorescence microscopy images. The segmentation step is performed using Otsu thresholding (Otsu, 1979). The workflow is based on the tutorial: https://training.galaxyproject.org/training-material/topics/imaging/tutorials/imaging-introduction/tutorial.html

Type: Galaxy

Creator: Leonid Kostrykin

Submitter: WorkflowHub Bot

dada2 amplicon analysis for paired end data

The workflow has three main outputs:

  • the sequence table (output of makeSequenceTable)
  • the taxonomy (output of assignTaxonomy)
  • the counts which allow to track the number of sequences in the samples through the steps (output of sequence counts)

Type: Galaxy

Creators: Matthias Bernt, UFZ Leipzig

Submitter: WorkflowHub Bot

This workflow takes as input a SRA_manifest from SRA Run Selector and will generate one fastq file or fastq pair of file for each experiment (concatenated multiple runs if necessary). Output will be relabelled to match the column specified by the user.

Type: Galaxy

Creators: Lucille Delisle, Pierre Osteil, Wolfgang Maier

Submitter: WorkflowHub Bot

Downloads fastq files for sequencing run accessions provided in a text file using fasterq-dump. Creates one job per listed run accession.

Type: Galaxy

Creators: Marius van den Beek, IWC

Submitter: WorkflowHub Bot

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

Scaffolding using HiC data with YAHS.

Type: Galaxy

Creator: VGP, Galaxy

Submitter: WorkflowHub Bot

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