SRA STUDY
SRA Study Id ERP109193  (Link to NCBI )
Study Title Enhanced annotation of microbiomes and their genetic repertoires implicated in anaerobic digestions for the generation of biogas
SRA Experiments
SRA Experiment Id ERX2687810  (Link to NCBI )
Experiment Title Illumina HiSeq 2500 paired end sequencing
Exp Library Strategy RNA_SEQ
Library Source METATRANSCRIPTOMIC
Library Selection Inverse rRNA
Library Name Bgp7 RNA
Library Layout PAIRED
Library Instrument ILLUMINA_HI_SEQ_2500
   
SRA Experiment Id ERX2690666  (Link to NCBI )
Experiment Title MinION sequencing
Exp Library Strategy WGS
Library Source METAGENOMIC
Library Selection unspecified
Library Name Bgp4 ONT
Library Layout SINGLE
Library Instrument MIN_ION
   
SRA Experiment Id ERX2687808  (Link to NCBI )
Experiment Title Illumina HiSeq 2500 paired end sequencing
Exp Library Strategy RNA_SEQ
Library Source METATRANSCRIPTOMIC
Library Selection Inverse rRNA
Library Name Bgp2 RNA
Library Layout PAIRED
Library Instrument ILLUMINA_HI_SEQ_2500
   
SRA Experiment Id ERX2690663  (Link to NCBI )
Experiment Title MinION sequencing
Exp Library Strategy WGS
Library Source METAGENOMIC
Library Selection unspecified
Library Name Bgp1 ONT
Library Layout SINGLE
Library Instrument MIN_ION
   
SRA Experiment Id ERX2687809  (Link to NCBI )
Experiment Title Illumina HiSeq 2500 paired end sequencing
Exp Library Strategy RNA_SEQ
Library Source METATRANSCRIPTOMIC
Library Selection Inverse rRNA
Library Name Bgp3 RNA
Library Layout PAIRED
Library Instrument ILLUMINA_HI_SEQ_2500
   
SRA Experiment Id ERX2690665  (Link to NCBI )
Experiment Title MinION sequencing
Exp Library Strategy WGS
Library Source METAGENOMIC
Library Selection unspecified
Library Name Bgp3 ONT
Library Layout SINGLE
Library Instrument MIN_ION
   
SRA Experiment Id ERX2690664  (Link to NCBI )
Experiment Title MinION sequencing
Exp Library Strategy WGS
Library Source METAGENOMIC
Library Selection unspecified
Library Name Bgp2 ONT
Library Layout SINGLE
Library Instrument MIN_ION
Study Abstract 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.
Alias ena-STUDY-FRAUNHOFER IGB-05-06-2018-11:44:14:063-3579
External Id BioProject=PRJEB27149