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

The workflow takes a Long 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 long reads collection (HiFi, or ONT also possible now), and max coverage depth (calculated from WF1) to run Hifiasm in solo mode. It produces a Pri/Alt assembly, Bandage plots, and runs all the QC analysis (gfastats, BUSCO, and Merqury).

Assembly Evaluation for ERGA-BGE Reports

One Assembly, HiFi WGS reads + HiC reads

The workflow requires the following:

• Species Taxonomy ID number
• NCBI Genome assembly accession code
• BUSCO Lineage
• WGS accurate reads accession code
• NCBI HiC reads accession code

The workflow will get the data and process it to generate genome profiling (genomescope, smudgeplot -optional-), assembly stats (gfastats), merqury stats (QV, completeness), BUSCO, snailplot, contamination blobplot, and HiC ...

Assembly Evaluation for ERGA-BGE Reports

One Assembly, Illumina WGS reads + HiC reads

The workflow requires the following:

• Species Taxonomy ID number
• NCBI Genome assembly accession code
• BUSCO Lineage
• WGS accurate reads accession code
• NCBI HiC reads accession code

The workflow will get the data and process it to generate genome profiling (genomescope, smudgeplot -optional-), assembly stats (gfastats), merqury stats (QV, completeness), BUSCO, snailplot, contamination blobplot, and ...

The workflow requires the user to provide:

• ENSEMBL link address of the annotation GFF3 file
• ENSEMBL link address of the assembly FASTA file
• NCBI taxonomy ID
• BUSCO lineage
• OMArk database

Thw workflow will produce statistics of the annotation based on AGAT, BUSCO and OMArk.

A pipeline to demultiplex, QC and map Nanopore data

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. New default settings for BUSCO: lineage = eukaryota; for Quast: lineage = eukaryotes, genome = large. Reports assembly stats into a table called metrics.tsv, including selected metrics from Fasta Stats, and read coverage; reports BUSCO versions and dependencies; and displays these tables in the workflow ...

Post-genome assembly quality control workflow using Quast, BUSCO, Meryl, Merqury and Fasta Statistics, with updates November 2024.

Workflow inputs: reads as fastqsanger.gz (not fastq.gz), and primary assembly.fasta. (To change reads format: click on the pencil icon next to the file in the Galaxy history, then "Datatypes", then set "New type" as fastqsanger.gz). Note: the reads should be those that were used for the assembly (i.e., the filtered/cleaned reads), not the raw reads.

What it does: ...

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) ...