Aviary: Hybrid assembly and genome recovery from metagenomes with Aviary

Résumé fourni par la source

Fix convert_metabuli crashed on unclassified reads — Metabuli writes unclassified rows (is_classified=0) with a trailing tab, giving 9 tab-separated fields against classified rows' 8, so pd.read_csv(header=None) inferred 8 columns from the leading classified rows and aborted on the first unclassified one (ParserError: Expected 8 fields, saw 9). The read now pins usecols=range(8), absorbing the phantom field without discarding data. Any run with at least one unclassified read was affected. Issue: https://github.com/steineggerlab/Metabuli/issues/194 Full Changelog: https://github.com/rhysnewell/aviary/compare/v0.13.1...v0.13.2

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.