- Summary includes data analysis
- Reports provided in PDF format, RAW files available upon request
BGI offers multi-omics services to look across genomics, transcriptomics, epigenomics, proteomics and metabolomics, with the flexibility to customize solutions that meet your specific needs. All projects are supported by a bioinformatics infrastructure that is second to none.
Using a multi-omics approach to correlate transcriptomics with proteomics data provides a more comprehensive overview of expression patterns and enables researchers to interpret deeper biological implications1,2.
 Becker K, Bluhm A, Casas-Vila N. et al. Quantifying post-transcriptional regulation in the development of Drosophila melanogaster. Nat Commun. 2018 Nov 26;9(1):4970.
 Dai F, Wang Z. et al. Transcriptomic and proteomic analyses of mulberry (Morus atropurpurea) fruit response to Ciboria carunculoides. J Proteomics. 2019 Feb 20;193:142-153.
Transcriptome sequencing platform: RNA-seq services.
Proteome platform: Untargeted and Targeted Quantitative Proteomics services.
Sample selection for Transcriptome and Proteome should be as consistent as possible. At least 2 groups. At least 3 biological replicates in each group.
Correlation at identification and quantitation level
Correlation at function level
Transcription factor association
Correlation at network level