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Environmental bioremediation relies heavily on the realized potential of efficient bioremediation agents or microbial strains of interest. Identifying suitable microbial agents for plant biomass waste valorization requires (i) high-quality genome assemblies to predict the full metabolic and functional potential, (ii) accurate mapping of lignocellulose metabolizing enzymes. However, fragmented nature of the sequenced genomes often limits the prediction ability due to breaks occurring in coding sequences. To address these challenges and as