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Integrative Analysis of RNA-seq and 16S

Based on the advanced technology platform, Creative Proteomics provides RNA-seq and 16S sequencing services and integrated analysis services of RNAseq-16S. We can provide you with a one-stop service from experimental design, sample detection, independent omics data analysis to integrative analysis to meet a variety of research needs.

Why Do Integrative Analysis of RNA-seq and 16S?

Why Do Integrative Analysis of RNA-seq and 16S

In the study of the association mechanism of microorganisms and hosts, 16S analysis obtained information such as species distribution characteristics of samples and different species between groups, while transcriptomics can reflect the expression activity of hosts. In order to further explore the specific molecular mechanism of the relationship between the health, disease, growth, and stress resistance of microorganisms and hosts (humans, animals and plants, etc.), the association analysis of species and genes / functions can also be carried out. Therefore, in order to identify which species are associated with which gene expression from the huge collection of microorganisms and genes, and the differences in grouping arise, it is necessary to perform 16S-transcriptomics association analysis.

Our Integrative Analysis Services of RNA-seq and 16S

Creative Proteomics provides you with one-stop RNA-seq and 16S sequencing services. In addition, we offer integrated analysis services of RNA-seq and 16S, seamlessly connecting your experiments to provide powerful insights into the evidence of complex life activity mechanisms.

Bioinformatics Analysis

Based on the sample data of one-to-one correspondence between microorganisms and transcriptomes, in the integrated analysis, we will use three models: (1) O2PLS model (bidirectional orthogonal projections to latent structures), which uses data on species abundance and gene expression to build a model. Through model prediction, the associated species and gene sets are obtained. (2) Correlation coefficient model (sample group ≥ 3), calculate the pearson correlation coefficient of species abundance and gene expression, and display them in heat map and network diagram. (3) CCA model (canonical correlation analysis), which analyzes the relationship between genes and species distribution in the form of dimensionality reduction (the gene name used for CCA analysis needs to be provided).

Bioinformatics Analysis

Delivery Content

Creative Proteomics will provide you with a detailed report, including:

  • Related analysis software and parameters used
  • Graphs obtained from the integrated analysis

Why Choose Us?

  • Professional bioinformatics analysis. Creative Proteomics has a strong bioinformatics team, which can meet various in-depth data analysis needs of customers, and can also provide integrated analysis services with other omics.
  • One-stop service. Customers only need to provide samples, and Creative Proteomics will complete the full-service process from sample preparation, library preparation, high-throughput sequencing / Mass detection to bioinformatics analysis, as well as integrated analysis of multi-omics.
  • Tailored and personalized analysis content is available for special projects.

Creative Proteomics relies on advanced platforms and cutting-edge technologies to provide omics services to customers around the world, and provide accurate and detailed analysis reports. In addition, we also provide multi-omics integrated analysis services. If you want to know more, please contact us, Creative Proteomics can be trusted.

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Creative Proteomics, your unparalleled center of excellence in sequencing, mass spectrometry, and bioinformatics analysis platforms, is elevating the landscape of research. Our seamless integration of these cutting-edge capabilities ensures that clients receive extraordinary multi-omics joint analysis services.

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