ena-STUDY-FRAUNHOFER IGB-05-06-2018-11:44:14:063-3579
Enhanced annotation of microbiomes and their genetic repertoires implicated in anaerobic digestions for the generation of biogas
A Biogas Metagenomics Hybrid Assembly (BioMETHA) database,specific for the microbiome of biogas plants, was generated using a dedicatedassembly strategy for the metagenomic datasets. Long reads from nanoporesequencing (MinION) were combined with short, more accurate secondgeneration sequencing reads (Illumina HiSeq). Binning following assembly resulted in 231 genomic bins with an average completeness of 47%. Functional annotation identified roughly 207k genes, specific for biogas plant microbiomes. BioMETHA allows mapping of up to 73% of DNA samples derived from various biogas plants.
A Biogas Metagenomics Hybrid Assembly (BioMETHA) database,specific for the microbiome of biogas plants, was generated using a dedicatedassembly strategy for the metagenomic datasets. Long reads from nanoporesequencing (MinION) were combined with short, more accurate secondgeneration sequencing reads (Illumina HiSeq). Binning following assembly resulted in 231 genomic bins with an average completeness of 47%. Functional annotation identified roughly 207k genes, specific for biogas plant microbiomes. BioMETHA allows mapping of up to 73% of DNA samples derived from various biogas plants.