Multi-omics Technology

Multi-omics technology involves the analysis of two or more single-omics methods, such as genomics, proteomics, transcriptomics, microbiomics, and metabolomics. By integrating data from each omics, it aims to explore biological data that cannot be obtained through a single-omics approach. This technology seeks to study the mechanisms of changes in life systems from a holistic perspective through the cross-integration of various omics. Multi-omics technology holds significant importance in the field of environmental microbial community research. By combining techniques like microbial diversity sequencing, genomics, transcriptomics, proteomics, and metabolomics, it provides new research ideas for exploring microbial community structure, gene function, metabolic pathways, and microbe-environment interactions.

BaiTai Parker Biotechnology uses Thermo Fisher's Q Exactive HF mass spectrometry platform combined with Nano-LC nanoliter chromatography,

to provide high-efficiency and precisemulti-omics integrated analysistechnology package. By integrating information across different layers such as genes, mRNA, regulatory factors, proteins, and metabolism, it constructs gene regulatory networks and identifies candidate key factors, aiding in understanding the molecular mechanisms and genetic basis of complex traits in biological processes and diseases. Free consultation available.

Related services:
Lipidomics and Proteomics Integrated Analysis
Transcriptomics and Metabolomics Integrated Analysis
Transcriptomics and Proteomics Integrated Analysis
Transcriptomics and Lipidomics Integrated Analysis
Metabolomics and 16S rDNA Sequencing Integrated Analysis
Proteomics and Metabolomics Integrated Analysis
Post-translational Modification Proteomics and Metabolomics Integrated Analysis
Transcriptome Sequencing
16S/18S/ITS Amplicon Sequencing
Full-length 16S/18S/ITS Sequencing
Prokaryotic Transcriptome Sequencing
Eukaryotic Reference-free Transcriptome Sequencing
Eukaryotic Reference-based Transcriptome Sequencing
Metatranscriptome Sequencing
Metabolomics and 16S rDNA Sequencing Integrated Analysis