Microbial Multi-omics Sequencing Service

With novel sequencing platform, Creative Biogene is dedicated to provide a multi-omics sequencing services from simpler integrations (two different –omics datasets) to more comprehensive and computationally demanding ones (multiple –omics data). With our strong expertise and decades of experience, talented specialists and comprehensive portfolio of sequencing platforms, we can assist you in providing comprehensive solutions even for the most challenging multi-omics sequencing projects. Our talented experts have extensive experience to give us unique insight into multi-omics research.

Microbial Multi-omics Sequencing Service

Figure 1. Modified from Toward Systems Understanding of Leaf Senescence: An Integrated Multi-Omics Perspective on Leaf Senescence Research (Kim, et al. 2016)

Multi-omics analyses which include genomics, epigenomics, transcriptomics, proteomics and metabolomics are widely applied to provide a precise and broader picture and identify the relevant biomarkers. With integration of multiple layers of information, the multi-omics approaches can fully elucidate the complexities of fundamental microbial biology1. Consequently, multi-omics studies in large cohorts promise to improve the characterization of biological processes across molecular layers. As a significant method, multi-omics technolegy is usually regarded as the future of microbiome studies.

With leading experts in the field of biostatistics and bioanalytic, Creative Biogene provides researchers support for the advanced and personalized statistical analysis of multi omics projects to the detailed evaluation of research results. If you have any additional requirements or questions, please don't hesitate to contact us, our expert team is more than happy to assist you.

1. Zhang W, Li F, Nie L. Integrating multiple 'omics' analysis for microbial biology: application and methodologies[J]. Microbiology, 2010, 156(Pt 2):287-301.
2. Kim J, Woo H R, Hong G N. Toward Systems Understanding of Leaf Senescence: An Integrated Multi-Omics Perspective on Leaf Senescence Research[J]. Molecular Plant, 2016, 9(6):813-825.

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