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Multiomics Analysis

Multiomics Analysis

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CD Genomics is a leading provider of multiomics bioinformatics services, offering high-quality analysis of genomics, epigenomics, transcriptomics, proteomics, lipidomics, and metabolomics data to researchers around the world. Our multiomics bioinformatics service is designed to provide a comprehensive understanding of biological systems, and to help researchers identify markers or treatment targets, and enhance their research in systems biology.

What Do We Analyze?

Introduction

No single omics approach can provide a complete picture of the biological processes, systems, and mechanisms found in. Multiomics data analysis is a complex process involving integrating and analyzing multiple types of biological data. However, the analysis requires specialized tools and expertise. We are here to help you interpret your omics findings, from the experimental design and conclusions process.

Multiomic Data Integration and AnalysisMultiomic Data Integration and Analysis

Bioinformatics Services for Multiomics Data

We understand that each research project is unique, and that's why we offer a wide range of customizable bioinformatics services to meet the diverse needs of our clients.

1. Project Consultation

Our experienced bioinformatics team can guide you from project design to the analysis process, mapping the opportunities in such data and finding relevant multiomics approaches for your research aim.

If you're interested in our multiomics bioinformatics service, we encourage you to request an initial consultation to assess which approaches fit your multiomics research aim.

2. Sample Preparation and Analysis

We work with a team of experienced professionals who specialize in different omics fields to ensure that you receive accurate and reliable results. If you have not yet generated your data, we can also connect you with our sample analysis partners who use state-of-the-art methods and experienced sample care to ensure that your samples are handled with the utmost care and precision.

3. Data Integration

CD Genomics is dedicated to interpreting your omics data using advanced bioinformatics and artificial intelligence-driven data analysis platforms. We help you find disease pathways, biological processes, molecular functions, and cellular components. Whether you want us to do statistical analysis, expression profiling analysis, gene or protein annotation, database building, or data modeling, we can meet your needs.

3. Delivery

CD Genomics provides custom analysis reports for multiomics data, following an advanced workflow that provides you with statistical, bioinformatics, and biomolecular modeling. You will also receive a unique and comprehensive report on your multiomics data, with our experts providing you with interactive charts and results, detailed analysis of signaling pathways and biological pathways and processes, unlocking your data to enrich your gains.

4. Technical Support

We look at the long term benefits and care about what you get out of your raw data, which is why we are committed to providing a complete post-consultation, whether you want to expand your project with additional full-scale research or need post-experiments to validate the results.

Make Breakthrough with CD Genomics

Precision medicine: identify biomarkers and develop personalized treatment

Disease prognosis research: identify key genetic and molecular signatures associated with various diseases

Drug discovery: identify new drug targets and predict the efficacy and toxicity of potential drug candidates

Environmental and agricultural research: study the effects of environmental factors on plant and animal systems, identify genetic markers associated with desirable traits

Microbiome research: interactions between microbial communities and their hosts, identify potential health risks and benefits associated with different microbial populations

By integrating genomics, transcriptomics, proteomics, metabolomics, and other omics data, we can gain a more comprehensive understanding of biological systems and uncover new insights into various fields. If you have any questions, please contact us.

Reference

  1. de Mas I M. Multiomic Data Integration and Analysis via Model-Driven Approaches[M]//Comprehensive Analytical Chemistry. Elsevier, 2018, 82: 447-476.
* For Research Use Only. Not for use in diagnostic procedures.
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