Workflows

What is a Workflow?
72 Workflows visible to you, out of a total of 72

Genome assembly workflow for nanopore reads, for TSI

Input:

  • Nanopore reads (can be in format: fastq, fastq.gz, fastqsanger, or fastqsanger.gz)

Optional settings to specify when the workflow is run:

  • [1] how many input files to split the original input into (to speed up the workflow). default = 0. example: set to 2000 to split a 60 GB read file into 2000 files of ~ 30 MB.
  • [2] filtering: min average read quality score. default = 10
  • [3] filtering: min read length. default = 200
  • [4] ...

Type: Galaxy

Creator: Anna Syme

Submitter: Anna Syme

DOI: 10.48546/workflowhub.workflow.1114.1

Stable

Post-genome assembly quality control workflow using Quast, BUSCO, Meryl, Merqury and Fasta Statistics. Updates November 2023.

  • Inputs: reads as fastqsanger.gz (not fastq.gz), and assembly.fasta. (To change format: click on the pencil icon next to the file in the Galaxy history, then "Datatypes", then set "New type" as fastqsanger.gz).
  • New default settings for BUSCO: lineage = eukaryota; for Quast: lineage = eukaryotes, genome = large.
  • Reports assembly stats into a table called metrics.tsv, ...

Scaffolding using HiC data with YAHS

This workflow has been created from a Vertebrate Genomes Project (VGP) scaffolding workflow.

Some minor changes have been made to better fit with TSI project data:

  • optional inputs of SAK info ...

Type: Galaxy

Creators: VGP Project, VGP, Galaxy

Submitter: Anna Syme

DOI: 10.48546/workflowhub.workflow.1054.1

This is part of a series of workflows to annotate a genome, tagged with TSI-annotation. These workflows are based on command-line code by Luke Silver, converted into Galaxy Australia workflows.

The workflows can be run in this order:

  • Repeat masking
  • RNAseq QC and read trimming
  • Find transcripts
  • Combine transcripts
  • Extract transcripts
  • Convert formats
  • Fgenesh annotation

Workflow information:

  • Input = genome.fasta.
  • Outputs = soft_masked_genome.fasta, hard_masked_genome.fasta, ...

Type: Galaxy

Creators: Luke Silver, Anna Syme

Submitter: Anna Syme

DOI: 10.48546/workflowhub.workflow.875.3

This is part of a series of workflows to annotate a genome, tagged with TSI-annotation. These workflows are based on command-line code by Luke Silver, converted into Galaxy Australia workflows.

The workflows can be run in this order:

  • Repeat masking
  • RNAseq QC and read trimming
  • Find transcripts
  • Combine transcripts
  • Extract transcripts
  • Convert formats
  • Fgenesh annotation

For this workflow:

Inputs:

  • assembled-genome.fasta
  • hard-repeat-masked-genome.fasta
  • If using the mRNAs option, ...

Type: Galaxy

Creator: Luke Silver

Submitter: Anna Syme

DOI: 10.48546/workflowhub.workflow.881.4

Stable

From the R1 and R2 fastq files of a single samples, make a scRNAseq counts matrix, and perform basic QC with scanpy. Then, do further processing by making a UMAP and clustering. Produces a processed AnnData Depreciated: use individual workflows insead for multiple samples

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

Takes fastqs and reference data, to produce a single cell counts matrix into and save in annData format - adding a column called sample with the sample name.

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

Take a scRNAseq counts matrix from a single sample, and perform basic QC with scanpy. Then, do further processing by making a UMAP and clustering. Produces a processed AnnData object.

Depreciated: use individual workflows insead for multiple samples

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

From the R1 and R2 fastq files of a single samples, make a scRNAseq counts matrix, and perform basic QC with scanpy. Then, do further processing by making a UMAP and clustering. Produces a processed AnnData

Depreciated: use individual workflows insead for multiple samples

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

Stable

Basic processing of a QC-filtered Anndata Object. UMAP, clustering e.t.c

Type: Galaxy

Creators: Sarah Williams, Mike Thang, Valentine Murigneaux

Submitter: Sarah Williams

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