* Replaces [kmc](https://github.com/refresh-bio/KMC) with [lrge](https://github.com/mbhall88/lrge) when using `--auto`, a much faster tool designed for the purpose of estimating genome size from long reads. It is very very fast and robust.
* If you input has more than 5000 long reads (it should!), [lrge](https://github.com/mbhall88/lrge) will run in default settings. If it has under this, then it will run a (slightly) more computationally expensive all-vs-all mode with all input reads. In practice, if you have such low read counts, you should take all downstream analysis (inclduing lrge and hybracter) with a lot of caution anyway.
* According to the [preprint](https://www.biorxiv.org/content/10.1101/2024.11.27.625777v1) (and my less exhaustive testing), lrge is more accurate and much faster than kmc, but I would still be careful using it on data that has lower quality than < Q15.
* Nothing else changes - the estimated chromosome size used by Hybracter will still be 80% of the estimate, as it needs to account for plasmids
* Adds `r1041_e82_400bps_bacterial_methylation` as an option for `--medakaModel` thanks to [this issue](https://github.com/gbouras13/hybracter/issues/108).
* Note this won't work if you run `hybracter` on a Mac (as medaka v2 is not available)