Bioinformatics Analysis

CD Genomics is one of the leaders in providing bioinformatic analysis service. Using our high-performance computing platform and having a bioinformatics analysis team dominated by graduate level scientists (Ph.D. and Master), we deliver services in the areas of genomics, transcriptomics, microorganisms, epigenetics, proteomics, metabolomics, single-cell omics and so on. CD Genomics brings accurate bioinformatic analysis results into routine research practices, making bioinformatic analysis the norm, not the exception.

Genomics

Genomics

Applying bioinformatics to genomics is to comprehensively mine gene sequence differences and structural variations through bioinformatic methods, including single-base mutations, insertion deletion mutations, copy number variations, and structural variations. These methods can quickly screen out genetic variations within the genome to achieve genotype diversity analysis, genetic evolution analysis, and screening of pathogenic and susceptible genes are of great scientific value. CD Genomics' bioinformatic analysis team is dedicated to creating a high-precision genome for each species.

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Transcriptomics

Transcriptomics

Our scientists can provide the overall solution for transcriptional regulation research. Information analysis of sequencing data based on next-generation sequencing platforms and advanced third-generation sequencing platforms can be carried out. Through the combination of various sequencing technologies, we can study the gene interaction of animals and plants in the process of developmental regulation, environmental stress, and immune interaction in-depth, and to screen key genes associated with traits. Powerful data mining platform is a perfect tool to promote the transformation of scientific research results.

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Microorganisms

Microorganisms

Advanced analysis software, a hardware platform with powerful computing capabilities, and a professional and experienced microbiology analysis team,  CD Genomics combines all the above to provide our customers in microbiology research with a comprehensive set of professional solutions for different types of microbial sequencing data analysis.

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Epigenetics

Epigenetics

CD Genomics uses bioinformatics to analyze epigenetic sequencing data. With years of successful experience, we can help researchers accelerate the study of epigenetic correlation, so as to have a deeper understanding of the mechanism of epigenetic system and a more comprehensive understanding of gene function. At present, CD Genomics can provide a number of customized services, such as whole genome bisulfite methylation sequencing and ChIP-seq, and the combined transcriptome launches multi-omics related information analysis to allow customers to get more, newer, more in-depth scientific research products and services.

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Proteomics

Proteomics

Using bioinformatics, CD Genomics can process high-throughput and complicated proteome data from liquid chromatography and tandem mass spectrometry (LC-MS/MS) to obtain protein expression, protein post-translational modification, quantitative differential expression protein profile and protein interaction. Results can be used for gene expression research, auxiliary gene annotation and modification, protein marker research, functional protein mining, signaling pathway and molecular mechanism research, etc.

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Metabonomics

Metabolomics

The analysis of metabolic group biochemical information is to quantitatively evaluate all metabolites in the organism, and look for the relative effect of metabolites on physiological and pathological changes. CD Genomics uses pattern recognition and expert systems and other computational analysis methods to identify and analyze small molecular substances with a relative molecular mass of less than 1000 Da, such as amino acids, organic acids, nucleotides, carbohydrates, vitamins, and lipids.

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Single-cell Omics

Single-cell Omics

Our high-level bioinformatic analysis team can provide a full range of bioinformatic analysis solutions to researchers in biology, agriculture, medicine and other fields, for single cell sequencing data bioinformatic analysis. We can detect the heredity and variation information of individual cells at DNA, RNA, and epigenetic levels.

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CRISPR Bioinformatics Analysis

CRISPR Bioinformatics Analysis

The high-quality gene necessity profile of CRISPR allows for a better comparison between importance prediction methods and better classification of various features of essential genes. These features not only allow for a better understanding of CRISPR screening data but also help prioritize CRISPR screening leads. CD Genomics uses CRISPR technologies and advanced bioinformatics to help you explore the genetic information and decipher the essence of life. Our skills and experience in data analysis can meet customers' personalized data analysis needs.

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Bioinformatics analysis

the normal, not the exception

* For Research Use Only. Not for use in diagnostic procedures.
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