What are the RNA-seq data processing steps in Galaxy according to de novo approach?

[f_kurt]

I am very new to RNA-seq data analysis and Galaxy platform. I tried to analyze an SRA data through Galaxy using trinity. However, there are questions regarding the analysis in my mind.

1-After running fastqc, I cannot find trimmomatic tool on the Galaxy.

Do I have to run fastqc in de novo approach?

If yes, Which tool can be used instead of trimmomatic?

2-After reference genome was downloaded and Trinity was run.

Do I need to asses quality of assembly? Assemlystats tool is not available on the Galaxy.

If yes, Which tool should be used for that ?

3- Blastn was used for annotation. Later Salmon was employed for quantification and TPM values were obtained.

How can I get fold changed values for each condition for each gene? Tool name?

How can I find DEGs?Steps ? Tool name(s)?

To make a long story short, is there anyone who can provide me an up-to-date documentation articulating each step in RNA sequencing De Novo Assembly in detail?

[jennaj]

Hi @f_kurt

Please see this prior Q&A, it covers most of what you are asking about. It is worth reviewing first: What to do with trinity output files

For tools that appear to be missing, it could be that the Galaxy server you are working at does not have them installed. Or, the tool panel search is not finding them for some reason (search term typo?). You can also directly check.

• Trimmomatic is often under the tool group “FASTQ Quality Control”. And yes, performing QA is probably a good idea. FastQC is just a quality report – no changes are made to the data. It is important that both ends of paired-end data are input to assembly, and Trimmomatic will output pairs that are still paired post-QA.
• Assemblystats is available in the ToolShed but is not hosted at all public Galaxy servers.
• Fasta Statistics is hosted and is usually under the tool group “FASTA/FASTQ”. Or, you may be more interested in Compute contig Ex90N50 statistic and Ex90 transcript count from a Trinity assembly in the tool group “RNA Analysis”.

The “Transcriptomics” Topic of the GTN Tutorials covers RNA-seq analysis (but not for all of this exact analysis – is still a work in progress – and explained in the linked Q&A above):

@jennaj

Galaxy Training Network Tutorials : Some GTN tutorials are appropriate for Galaxy Main and some are not. Where you can run each is noted per tutorial – click on the Galaxy instances gear icon to review the Public Galaxy server choices. If a tutorial is supported by a pre-configured Galaxy Docker training image, instructions for how to get it will be listed below the tutorial listings, per category.

Thanks!