BigDataBiology/SemiBin: Version 0.6.0

Released February 7 2022

• 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

• Fix bug with non-standard characters in sample names (#68).

• @SvetlanaUP made their first contribution in https://github.com/BigDataBiology/SemiBin/pull/60