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] ...

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

About this workflow:

• Repeat this workflow separately for datasets from different tissues.
• Inputs = collections ...

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) ...

workflow-qc-of-radseq-reads

These workflows are part of a set designed to work for RAD-seq data on the Galaxy platform, using the tools from the Stacks program.

Galaxy Australia: https://usegalaxy.org.au/

Stacks: http://catchenlab.life.illinois.edu/stacks/

Inputs

• demultiplexed reads in fastq format, in a collection
• two adapter sequences in fasta format, for input into cutadapt

Steps and outputs

The workflow can be modified to suit your own parameters.

The workflow steps are:

• Run ...

Data QC step, can run alone or as part of a combined workflow for large genome assembly.

• What it does: Reports statistics from sequencing reads.
• Inputs: long reads (fastq.gz format), short reads (R1 and R2) (fastq.gz format).
• Outputs: For long reads: a nanoplot report (the HTML report summarizes all the information). For short reads: a MultiQC report.
• Tools used: Nanoplot, FastQC, MultiQC.
• Input parameters: None required.
• Workflow steps: Long reads are analysed by Nanoplot; Short reads ...