The workflow takes trimmed HiC paired-end reads collection, and Pri/Alt assemblies to produce a scaffolded primary assembliy (and alternate contigs) using YaHS. It also runs all the QC analyses (gfastats, BUSCO, and Merqury).

The workflow takes a trimmed HiFi reads collection, Pri/Alt contigs, and the values for transition parameter and max coverage depth (calculated from WF1) to run Purge_Dups. It produces purged Pri and Alt contigs assemblies, and runs all the QC analysis (gfastats, BUSCO, and Merqury).

The workflow takes a trimmed HiFi reads collection, and max coverage depth (calculated from WF1) to run Hifiasm in HiFi solo mode. It produces a Pri/Alt assembly, and runs all the QC analysis (gfastats, BUSCO, and Merqury).

...

Assembly of bacterial paired-end short read data with generation of quality metrics and reports

Assembly and intrahost/low-frequency variant calling for viral samples

[![Cite with ...

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Simple bacterial assembly and annotation pipeline.

ONTViSc (ONT-based Viral Screening for Biosecurity)

Introduction

eresearchqut/ontvisc is a Nextflow-based bioinformatics pipeline designed to help diagnostics of viruses and viroid pathogens for biosecurity. It takes fastq files generated from either amplicon or whole-genome sequencing using Oxford Nanopore Technologies as input.

The pipeline can either: 1) perform a direct search on the sequenced reads, 2) generate clusters, 3) assemble the reads to generate longer contigs or 4) directly ...

Purge dups

This snakemake pipeline is designed to be run using as input a contig-level genome and pacbio reads. This pipeline has been tested with snakemake v7.32.4. Raw long-read sequencing files and the input contig genome assembly must be given in the config.yaml file. To execute the workflow run:

snakemake --use-conda --cores N

Or configure the cluster.json and run using the ./run_cluster command

Workflow (hybrid) metagenomic assembly and binning

• Workflow Illumina Quality: https://workflowhub.eu/workflows/336?version=1
• FastQC (control)
• fastp (quality trimming)
• kraken2 (taxonomy)
• bbmap contamination filter
• Workflow Longread Quality:
• NanoPlot (control)
• filtlong (quality trimming)
• kraken2 (taxonomy)
• minimap2 contamination filter
• Kraken2 taxonomic classification of FASTQ reads
• SPAdes/Flye (Assembly)
• Pilon/Medaka/PyPolCA (Assembly polishing)
• QUAST (Assembly ...

Workflow for LongRead Quality Control and Filtering

• NanoPlot (read quality control) before and after filtering
• Filtlong (read trimming)
• Kraken2 taxonomic read classification before and after filtering
• Minimap2 read filtering based on given references

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

All tool CWL files and other workflows can be found here: https://gitlab.com/m-unlock/cwl/workflows

**How to setup and use an UNLOCK ...

Shotgun Metagenomics Analysis

Analysis of metagenomic shotgun sequences including assembly, speciation, ARG discovery and more

Description

The input for this analysis is paired end next generation sequencing data from metagenomic samples. The workflow is designed to be modular, so that individual modules can be run depending on the nature of the metagenomics project at hand. More modules will be added as we develop them - this repo is a work in progress!

These scripts have been written ...

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.

...

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 ...

Flashlite-Trinity contains two workflows that run Trinity on the University of Queensland's HPC, Flashlite. Trinity performs de novo transcriptome assembly of RNA-seq data by combining three independent software modules Inchworm, Chrysalis and Butterfly to process RNA-seq reads. The algorithm can detect isoforms, handle paired-end reads, multiple insert sizes and strandedness. Users can run Flashlite-Trinity on single samples, or smaller samples requiring <500Gb ...

Description: Trinity @ NCI-Gadi contains a staged Trinity workflow that can be run on the National Computational Infrastructure’s (NCI) Gadi supercomputer. Trinity performs de novo transcriptome assembly of RNA-seq data by combining three independent software modules Inchworm, Chrysalis and Butterfly to process RNA-seq reads. The algorithm can detect isoforms, handle paired-end reads, multiple insert sizes and strandedness. ...

microPIPE was developed to automate high-quality complete bacterial genome assembly using Oxford Nanopore Sequencing in combination with Illumina sequencing.

To build microPIPE we evaluated the performance of several tools at each step of bacterial genome assembly, including basecalling, assembly, and polishing. Results at each step were validated using the high-quality ST131 Escherichia coli strain EC958 (GenBank: HG941718.1). After appraisal of each step, we selected the best combination of ...

A porting of the Trinity RNA assembly pipeline, https://trinityrnaseq.github.io, that uses Nextflow to handle the underlying sub-tasks. This enables additional capabilities to better use HPC resources, such as packing of tasks to fill up nodes and use of node-local disks to improve I/O. By design, the pipeline separates the workflow logic (main file) and the cluster-specific configuration (config files), improving portability.

Based on a pipeline by Sydney Informatics Hub: ...

Mapping against all plant virus then make contig out of the mapped reads then blast them.

Virus genome assembly with Unicycler and Spades, The 2 assemblers works in parallel. The graph visualization is made with Bandage. workflow git repository : https://github.com/fjrmoreews/cwl-workflow-SARS-CoV-2/blob/master/Assembly/workflow/assembly-wf-virus.cwl Based on https://github.com/galaxyproject/SARS-CoV-2/blob/master/genomics/2-Assembly/as_wf.png

Alignment, assembly and annotation of generated transcripts from RNASEQ reads.

Alignment, assembly and annotation of RNASEQ reads as well as annotation of generated transcripts.

Alignment, assembly RNASEQ reads and annotation of generated transcripts.

Alignment, assembly and annotation of RNQSEQ reads using TOPHAT (without filtering out host reads).

Pipelines used by the genomes assembly teams part of the Biodiversity Genomics Europe project

https://biodiversitygenomics.eu/

Collection of de-novo genome assembly workflows written for implementation in Galaxy

Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads

Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses

Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4

Collection of de-novo genome assembly workflows written for implementation in Galaxy

Input data should be Oxford Nanopore raw reads plus Illumina WGS reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads

Executing all workflows will output one scaffolded collapsed assembly and the complete QC analyses

Please run the workflows in order: WF0 (there are two, one for ONT, and another one for Illumina that can be used independently for the WGS and HiC reads), WF1, WF2, WF3, WF4

Collection of de-novo genome assembly workflows written for implementation in Galaxy

Input data should be PacBio HiFi reads and Illumina 3-dimensional Chromatin Confirmation Capture (HiC) reads

Executing all workflows will output two scaffolded haplotype assemblies and the complete QC analyses

Please run the workflows in order: WF0 (there are two, one for HiFi and one for Illumina HiC), WF1, WF2, WF3, WF4