Version 1.2.0

Version 1.2.0 has the following improvements:

• Includes PASHA sets for k = 28,55 instead of DOCKS sets for k = 20,50
• Support for random minimizer orderings
• Human-readable minimizer output in per-bucket stats for minimizer analysis
• Additional unit tests
• Bugfixes for motifs at the very start of a k-length window, which were not properly detected during hashing
• Bugfix for handling of EOF in Fastdoop

Version 1.1.0

Version 1.1.0 adds:

• FASTA output by default when writing a counts table (--tsv can be used to get a simple tsv table)
• Normalization of k-mer orientation (forward and reverse complement treated as the same value). This is a little slower than the non-normalized mode, however.
• Configurable input split sizes in the run scripts (instead of hardcoded as before)
• A run script for AWS EMR (experimental)
• Improved command line help and validation of parameters

Plus various enhancements and bug fixes.

This version has been pre-compiled with Scala 2.11.12/Spark 2.4.6, and also with Scala 2.12.12/Spark 3.0.1.

Version 1.0.0 (Spark 2.4)

Initial release, compiled with Spark 2.4.6 libraries.