Elastic-blast

New features

- Job submission on the cloud for AWS

Improvements

- Elastic-blast disallows use of ARM instances
- Program = megablast is no longer allowed

New features

- Automatic shutdown for GCP
- Cloud query splitting for GCP implemented
- Cloud query splitting for GCP and AWS enabled by default

Improvements

- Blast tuner - memory split based on number of jobs per node (defined by CPU allocation)
- Code refactoring to provide homogeneous handling of GCP and AWS execution
- Simplified run summary user interface
- More solid run summary data handling

Bug fixes

- Fixed negative values in run summary
- Fixed run summary exceptions
- Fixed apparent disk leaks for GCP

Improvements

- Documentation includes installation from PyPI and BioConda
- blast-tuner incorporates new mt_mode=1 guidance
- blast-tuner recommends only a subset of all available AWS instance types

Improvements

- ncbi/elb docker image is now pulled from GCR and ECR repositories
- ElasticBLAST reports misspelled and misplaced config parameters
- Default number of CPUs is now 16 or the number of available CPUs
- Custom search tags are added to default ones
- Default disk size for AWS is now 1T

Bug fixes

- blast-tuner.py no longer reports aws-region for a GCP search
- blast-tuner.py recommends AWS instance types from M5, C5, and R5 families only

New features

- Upgrade to BLAST+ 2.12.0
- Experimental 2-stage cloud query split
- Record configuration in results bucket metadata
- Stress test added
- ElasticBLAST is available from PyPI and BioConda now

Improvements

- blast-tuner uses mem-limit and machine-type suggestions based on BLASTDB metadata
- OutOfMemoryError bug handled systematically

New features

- Implement tool to create BLASTDB metadata
- Distribute ElasticBLAST on PyPI.org: https://pypi.org/project/elastic-blast/0.1.4/

Improvements

- Add negative_taxidlist support to ElasticBLAST
- Use autoscaling by default for ElasticBLAST on GCP

Bug fixes

- Detect unbalanced quotation marks in BLAST options and report error