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A NGS analysis framework for WGS data, which automates the entire process of spinning up AWS EC2 spot instances and processing FASTQ to snvVCF in <60m, for dollars a sample and achieving Fscores of 0....

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So that when this is run, it is not blindly pulling head. Consider a reclone script from the core ~/projects/ repo created on the headnode, whicih could wrap the git...

ie: add to the BAM metadata, lib prep, institution, etc. Pull from sample info in analysis_manifest.csv (and better, from the sample and units files in v8)

noneyet

The current meta report files all are named in such a way they will clash if combined from multiple pipelines. This is bad news bears (ie: benchmarks.tsv)

new-feature

Daylily jobs used to run on multiple different vcpu configurations, but then I simplified to i192 when it struck me the per vcpu cost of smaller instances was often much...

capacity-balance
diversify-ec2types

The most common tools to be used willbe deepvariant and bwa2a, might as well save the folks pilling this every time a cluster is built. ALSO- add clear section in...

install-improvement

- make version naming consisten with s/w repo naming, be direct copies, and add version to bucket naming.

v0.7

- remove the `resources/lib` and `/fsx/data/lib` directories from the project and test.

refactor
v0.7

- to simplify creating an analysis_manifest.

v0.7