Workflow for Metagenomics binning from assembly

Minimal inputs are: Identifier, assembly (fasta) and a associated sorted BAM file

Summary

• MetaBAT2 (binning)
• MaxBin2 (binning)
• SemiBin (binning)
• DAS Tool (bin merging)
• EukRep (eukaryotic classification)
• CheckM (bin completeness and contamination)
• BUSCO (bin completeness)
• GTDB-Tk (bin taxonomic classification)

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

**All tool CWL ...

Workflow Kallisto RNAseq

(pseudoalignment on transcripts)

• Workflow Illumina Quality: https://workflowhub.eu/workflows/336?version=1
• kallisto

All tool CWL files and other workflows can be found here:
Tools: https://git.wur.nl/unlock/cwl/-/tree/master/cwl
Workflows: https://git.wur.nl/unlock/cwl/-/tree/master/cwl/workflows

How to setup and use an UNLOCK workflow:
https://m-unlock.gitlab.io/docs/setup/setup.html

- deprecated -

Workflow for sequencing with ONT Nanopore, from basecalling to assembly.

• Guppy (basecalling of raw reads)
• MinIONQC (quality check)
• FASTQ merging from multi into one file
• Kraken2 (taxonomic classification)
• Krona (classification visualization)
• Flye (de novo assembly)
• Medaka (assembly polishing)
• QUAST (assembly quality reports)

All tool CWL files and other workflows can be found here: Tools: https://git.wur.nl/unlock/cwl/-/tree/master/cwl Workflows: ...

Joint multi-omics dimensionality reduction approaches for CAKUT data using peptidome and proteome data

Brief description In (Cantini et al. 2020), Cantini et al. evaluated 9 representative joint dimensionality reduction (jDR) methods for multi-omics integration and analysis and . The methods are Regularized Generalized Canonical Correlation Analysis (RGCCA), Multiple co-inertia analysis (MCIA), Multi-Omics Factor Analysis (MOFA), Multi-Study Factor Analysis (MSFA), iCluster, Integrative NMF ...

For integrative analysis of CAKUT multi-omics data DIABLO method of the mixOmics package (version 6.10.9. Singh et. al. 2019) was used with sPLS-DA (sparse Partial Least Squares Discriminant Analysis Discriminant Analysis) and PLS-DA classification.

In this analysis, we created an extended pathway, using the WikiPathways repository (Version 20210110) and the three -omics datasets. For this, each of the three -omics datasets was first analyzed to identify differentially expressed elements, and pathways associated with the significant miRNA-protein links were detected. A miRNA-protein link is deemed significant, and may possibly be implying causality, if both a miRNA and its target are significantly differentially expressed.

The peptidome and ...

COVID-19: consensus construction

This workflow aims at generating reliable consensus sequences from variant calls according to transparent criteria that capture at least some of the complexity of variant calling.

It takes a collection of VCFs (with DP and DP4 INFO fields) and a collection of the corresponding aligned reads (for the purpose of calculating genome-wide coverage) such as produced by any of the variant calling workflows in ...

PacBio HiFi genome assembly using hifiasm v2.1

General usage recommendations

Please see the Genome assembly with hifiasm on Galaxy Australia guide.

See change log

Acknowledgements

The workflow & the doc_guidelines template used are supported by the Australian BioCommons via Bioplatforms Australia funding, the Australian ...

Purge-duplicates-from-hifiasm-assembly

General recommendations for using Purge-duplicates-from-hifiasm-assembly

Please see the Genome assembly with hifiasm on Galaxy Australia guide.

Acknowledgements

The workflow & the doc_guidelines template used are supported by the Australian BioCommons via Bioplatforms Australia funding, the Australian ...

BAM-to-FASTQ-QC

General recommendations for using BAM-to-FASTQ-QC

Please see the Genome assembly with hifiasm on Galaxy Australia guide.

Acknowledgements

The workflow & the doc_guidelines template used are supported by the Australian BioCommons via Bioplatforms Australia funding, the Australian Research Data Commons (https://doi.org/10.47486/PL105) ...