Version 0.6 Released February 7 2022 User-visible improvements Provide pretrained models from soil, cat gut, human oral,pig gut, mouse gut, built environment, wastewater and global (training from all samples). Users can now pass in the output of running mmseqs2 directly and SemiBin will use that instead of calling mmseqs itself (use option --taxonomy-annotation-table). The subcommand to generate cannot links is now called generate_cannot_links. The old name (predict_taxonomy) is kept as a deprecated alias. Similarly, sequence features (k-mer and abundance) are generated using the commands generate_sequence_features_single and generate_sequence_features_multi (for single- and multi-sample modes, respectively). The old names generate_data_single/generate_data_multi`) are kept as deprecated aliases. Add check_install command and run check_install before easy command Bugfixes Fix bug with non-standard characters in sample names (#68). New Contributors @SvetlanaUP made their first contribution in https://github.com/BigDataBiology/SemiBin/pull/60