A space managed by WorkflowHub administrators for teams that don't want/need to manage their own space.

This workflow was built for the 2024 Bioinformatics Bootcamp at The Open University. It is meant to occur after the (universal) Filter, plot and explore tutorial to allow analysis of a single cluster.

This workflow was developed for the 2024 Bioinformatics Bootcamp at The Open University. It imports datasets from the EBI SCXA, reformats then, and analyses them similar to the Filter, plot and explore Galaxy tutorial.

Subset data on the Mediterreanean see and extract and visualise the Phosphate variable

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

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

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.

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

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

A variation of the Cancer variant annotation (hg38 VEP-based) workflow at https://doi.org/10.48546/workflowhub.workflow.607.1.

Like that other workflow it takes a list of tumor/normal sample pair variants in VCF format (see the other workflow for details about the expected format) and

1. annotates them using the ENSEMBL Variant Effect Predictor and custom annotation data
2. turns the annotated VCF into a MAF file for import into cBioPortal
3. generates human-readable variant- and gene-centric ...

Call somatic, germline and LoH event variants from PE Illumina sequencing data obtained from matched pairs of tumor and normal tissue samples.

This workflow can be used with whole-genome and whole-exome sequencing data as input. For WES data, parts of the analysis can be restricted to the exome capture kits target regions by providing the optional "Regions of Interest" bed dataset.

The current version uses bwa-mem for read mapping and varscan somatic for variant calling and somatic status ...

This Galaxy workflow takes a list of tumor/normal sample pair variants in VCF format and

1. annotates them using the ENSEMBL Variant Effect Predictor and custom annotation data
2. turns the annotated VCF into a MAF file for import into cBioPortal
3. generates human-readable variant- and gene-centric reports

The input VCF is expected to encode somatic status, somatic p-value and germline p-value of each variant in varscan somatic format, i.e., via SS, SPV and GPV INFO keys, respectively.

Generic consensus building

This workflow generates consensus sequences using a list of variants generated by Variant Calling Workflow.

The workflow accepts a single input:

• A collection of VCF files

The workflow produces a single output:

• Consensus sequence for each input VCF file

The workflow can be accessed at usegalaxy.org

Generic variation analysis reporting

This workflow generates reports from a list of variants generated by Variant Calling Workflow.

The workflow accepts a single input:

• A collection of VCF files

The workflow produces two outputs (format description below):

1. A list of variants grouped by Sample
2. A list of variants grouped by Variant

Here is example of output by sample. In this table all varinats in all samples are epxlicitrly listed:

| Sample | ...

Generic variant calling

A generic workflow for identification of variants in a haploid genome such as genomes of bacteria or viruses. It can be readily used on MonkeyPox. The workflow accepts two inputs:

• A genbank file with the reference genomes
• A collection of paired fastqsanger files

The workflow outputs a collection of VCF files for each sample (each fastq pair). These VCF files serve as input to the Reporting workflow.

Workflow can be accessed ...

Performs Long Read assembly using PacBio data and Hifiasm. Part of VGP assembly pipeline. This workflow generate a phased assembly.

Performs scaffolding using HiC Data. Part of VGP assembly pipeline. The scaffolding can be performed on long read assembly contigs or on scaffolds (e.g.: Bionano scaffolds).

Performs scaffolding using Bionano Data. Part of VGP assembly pipeline.

Purge Phased assembly of duplications and overlaps. Include purge steps for Primary and Alternate assemblies.

Performs Long Read assembly using PacBio data and Hifiasm. Part of VGP assembly pipeline. This workflow generate a phased assembly.

Create Meryl Database used for the estimation of assembly parameters and quality control with Merqury. Part of the VGP pipeline.