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jtnystrom committed Jun 6, 2022
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2.3.0

Pre-grouped mode for handling repetitive or very large data, which can be
enabled with --method pregrouped. This greatly increases the maximum data size
that can be analysed.
Some minimizer sets are now bundled in the Discount jar, which means that
many users will not need to supply minimizers manually.
Improved support for large m (up to 13), which helps subdivide complex data
with many distinct k-mers.
Automatic coalescing of partitions in frequency sampling when appropriate
(improves performance).
Support for @inputs.txt syntax to supply a list of input files on the command
line.
More efficient frequency sampling by doing the sampling entirely in Spark
SQL, instead of partially on the driver.

2.2.1

This release fixes a bug in fastq parsing, where sometimes data would be
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