Hello @aroebuck
NCBI BLAST+ tools had some corrections today at UseGalaxy.org. Full testing is still in progress but so far have turned out well. Even if your combination of tools/inputs is not marked as “pass” yet in the tracking ticket’s test matrix, consider a rerun anyway.
- Issue tracking ticket: BLAST failures at usegalaxy.org · Issue #318 · galaxyproject/usegalaxy-playbook · GitHub
For any reruns, be sure to use the most current version of all tools in the BLAST+ tool suite (2.10.1+galaxy0), including NCBI BLAST+ makeblastdb Make BLAST database (Galaxy Version 2.10.1+galaxy0).
For very large data, any public Galaxy server can be a problematic choice. 300GB of raw data would exceed your quota space (storage). And even if that was increased, memory for data storage is unrelated to the memory used to execute tools – and the example you state would certainly fail for resources.
- Ways to use Galaxy: Galaxy Platform Directory: Servers, Clouds, and Deployable Resources - Galaxy Community Hub
- Choices matrix: Galaxy Choices - Galaxy Community Hub
- The GVL version of Cloudman is one choice and AWS offers grants. AWS Programs for Research and Education
I added some tags to your post that link to prior Q&A about the GVL and other cloud options.
You also may want to consider joining our upcoming webinar:
Thanks!