Additional file 5. Functional characterization of the GBs according to SEED. (“SEED” worksheet) GBs were annotated using SEED subsystem and for each category (row 1) the subcategories are reported (row 2). Numbers refer to the subsystem feature counts. The SEED categories are reported in columns highlighted in grey (C, R, X, AF, AH, AL, AP, AX, BN, BR, BV, BZ, CF, CJ, CO, CV, DG, DN, DT, DW, DZ, EH, ER, EW, FH, FL, FN). In columns at right of each category are reported the results for the subcategories (for example, columns D-Q refer to the “super-category” “C”). Rows 110–114 report the median, the third and the first quartile results for each column. In red and in blue are highlighted the GBs having high and low numbers of subsystem featur...
Hassa J, Maus I, Off S, et al. Metagenome, metatranscriptome, and metaproteome approaches unraveled ...
Background: Microorganisms in biogas reactors are essential for degradation of organic matter and m...
Stolze Y, Bremges A, Maus I, Pühler A, Sczyrba A, Schlüter A. Targeted in situ metatranscriptomics f...
Additional file 6. Functional characterization of the GBs according to COG. (“COG_gene_numb” workshe...
Additional file 4. Input files used for the network Representation of the Biogas Functional Organiza...
Additional file 9. Metadata regarding the operational conditions of the reactors. Metadata regarding...
characterization of the biogas microbiome using high throughput shotgun sequencing and a novel binni...
Additional file 1. Summary of metagenomic (DNA) and metatranscriptomic (RNA) sequenced samples
Additional file 1. Fragment recruitment of metagenome sequences derived from four biogas-producing m...
Additional file 3: Figure S2. Number of identified spectra for each BGP (average of triplicates). Ea...
Additional file 2. Summary of genomic bins including estimated profile completeness, number of deduc...
Metagenomics is the study of a collective microbial genetic content recovered directly from natural ...
Background: Biogas production is an attractive technology for a sustainable generation of renewable ...
Zakrzewski M, Bekel T, Ander C, et al. MetaSAMS - A novel software platform for taxonomic classifica...
By sequencing environmental DNA and reconstructing microbial genomes, we can obtain insight into the...
Hassa J, Maus I, Off S, et al. Metagenome, metatranscriptome, and metaproteome approaches unraveled ...
Background: Microorganisms in biogas reactors are essential for degradation of organic matter and m...
Stolze Y, Bremges A, Maus I, Pühler A, Sczyrba A, Schlüter A. Targeted in situ metatranscriptomics f...
Additional file 6. Functional characterization of the GBs according to COG. (“COG_gene_numb” workshe...
Additional file 4. Input files used for the network Representation of the Biogas Functional Organiza...
Additional file 9. Metadata regarding the operational conditions of the reactors. Metadata regarding...
characterization of the biogas microbiome using high throughput shotgun sequencing and a novel binni...
Additional file 1. Summary of metagenomic (DNA) and metatranscriptomic (RNA) sequenced samples
Additional file 1. Fragment recruitment of metagenome sequences derived from four biogas-producing m...
Additional file 3: Figure S2. Number of identified spectra for each BGP (average of triplicates). Ea...
Additional file 2. Summary of genomic bins including estimated profile completeness, number of deduc...
Metagenomics is the study of a collective microbial genetic content recovered directly from natural ...
Background: Biogas production is an attractive technology for a sustainable generation of renewable ...
Zakrzewski M, Bekel T, Ander C, et al. MetaSAMS - A novel software platform for taxonomic classifica...
By sequencing environmental DNA and reconstructing microbial genomes, we can obtain insight into the...
Hassa J, Maus I, Off S, et al. Metagenome, metatranscriptome, and metaproteome approaches unraveled ...
Background: Microorganisms in biogas reactors are essential for degradation of organic matter and m...
Stolze Y, Bremges A, Maus I, Pühler A, Sczyrba A, Schlüter A. Targeted in situ metatranscriptomics f...