HI @Mark_C
It looks like you are deleting jobs before they have a chance to run but I can’t really see the details with the current sharing permissions. The single failure I can see is about Trinity – and yes – your work may be too large or more likely you need to do more QA. This is Ok, at the end I’m going to recommend a tutorial that I think will help. With the protocol and with tool choices (RNA-seq data is handled differently than DNA).
To learn more about how the job queues work, see topic tagged with queued-gray-datasets
With more here
I would suggest getting everything started up again, then allowing the data to process! Avoid deleting and rerunning. If you do this quick enough, your jobs may never get a chance to run.
Then, for RNA-seq Transcriptomics pipelines, be sure to see our wonderful suite of tutorials at the 
Galaxy Training Network
Or, for DNA Assembly, please see
If new to Galaxy, please consider running through some basics here too!
All of the demonstration analysis projects include a workflow. Workflows are how to run analysis in batches. This is how to maximise the use of the public computational infrastructure.
Later on, you can explore our HTP production quality workflows in the 
IWC Workflow Library.
If I were to suggest just one item based on what you are doing now, this is what I would recommend the most, assuming you have RNA-seq data.
Hope this helps! 