Fig. 1

Workflows for meta-omics. The integrated analysis of meta-omics contains a MetaG, MetaT and MetaP workflow. MetaG includes data preprocessing steps with quality control and trimming, followed by assembling, binning and taxonomically annotation of the MAGs. Open reading frames (ORFs) and nucleotide sequences are predicted by FragGeneScan. Functional annotation is performed by InterProScan and dbCAN-HMMER. The predicted ORFs and nucleotide sequences are further used in the MetaP and MetaT workflow; hence, the MetaG serves as the base analysis and the MetaT and MetaP are mapped onto the MetaG. After preprocessing the data and rRNA removal, the predicted nucleotide sequences from the MetaG workflow are used for the mRNA quantification and mapping by Kallisto, as well as for MaxQuant in the MetaP workflow