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Bioinformatic Analysis Platform

Bioinformatic Analysis Platform Online Inquiry

Our Clients

Our clients include researchers in biomedical academic institutions, biotechnology and pharmaceutical industries, clinical institutions and government agencies. In addition to providing advice and assistance in designing and implementing onerous bioinformatics research projects, our bioinformatics team also directly performs complicated bioinformatics and research projects for our clients. Our services can work with a wide range of organisms -from medical research using human samples or studies involving human patients, animal and plant research using model or non-model organisms, to research projects targeting microbial and viral species.

Our Clients.

What Can We Do?

We are engaged in many types of bioinformatics work, including: processing, analyzing and interpreting high-throughput biological and medical data-focusing on next-generation sequencing (NGS) data, genomics, transcriptome, proteomics, microorganisms, epigenetics, metabolomics, and other combinatorial data, statistical data analysis, data integration for multiple biomedical and other data types - e.g., used to identify causality or other hidden information between measurement variables, statistical models, development and application of machine learning methods, macrogenomics, ecology, phylogeny, population genetics and other analysis related to evolutionary biology, data mining, customization and advanced analytical method development, specific data structures and algorithm development, informatics, database development and maintenance, software solutions as well as IT and infrastructure solutions.

What Can We Do?

Data Types That We Can Analyze

Our team is experienced in processing NGS data from all common platforms, including Illumina, Ion Torrent, 454, Solid, PacBio and Oxford Nanopore, as well as all common NGS applications-including whole genome sequencing (map-based or assembly-based applications), exome and other targeted sequencing, RNA-SEQ, CHIP-SEQ (for transcription factor, RNA PolII and histone modification), and various sequencing-based DNA methylation applications. We are also experienced in less commonly used NGS applications, such as Hi-C Seq, QTL-Seq, RRBS, ATAC-Seq, MeRIP-seq and RIP-seq. In addition, we can also assist in the development of new NGS applications. Some of our most extensive experiences are in processing microarray data from all major array platforms (Affymetrix, Agilent, Illumina and NimbleGen) for a variety of applications, including gene expression profile analysis, DNA methylation analysis, and genotyping.

Data Types That We Can Analyze.

Data Analysis Content

Data analysis includes upload raw data, quality control (QC), statistical analysis,
chart production and result reporting. Contents include differential expression analysis of genes, functional enrichment analysis, signal pathway enrichment analysis, interaction network analysis,
pathway enrichment analysis, and various cluster analysis.

Bioinformatic Analysis Workflows

Languages such as Linux, Perl, Python, and R and biological information analysis software are used for data analysis and chart making.

Bioinformatic Analysis Platform

High-Quality Data Service

Unified and standardized analysis process

  • Bioinformatic Analysis Platform

    Reliable data storage

    Safe and reliable storage services for the entire data life cycle

  • Bioinformatic Analysis Platform

    Fast & efficient data analysis

    Save your precious time and speed up the research process

  • Bioinformatic Analysis Platform

    Accurate results in report

    Simple and clear data that can be directly used in the next research

Importance of Bioinformatics

Since the first high-throughput sequencer was put on the market in 2005, the cost of sequencing
has been greatly reduced with the continuous innovation of gene sequencing technology in the past ten years.
As the cost of sequencing declines, major research institutions around the world have increased their investment in genetic research, and as a result,  genetic data are accumulating at a rate beyond Moore's law.
More than billions of petabytes of genetic data have been accumulated worldwide.
Therefore, how to make good use of these data resources and mine the potential scientific research data value through bioinformatics has become an important issue
in the new era of gene big data and life science.

Internet Resources

Bioinformatics Engineer

Our platform brings together a large number of high-level bioinformatic analysis talents from top universities and scientific research institutes around the world. They have accumulated years of practical experience in the field of bioinformatics research and development.

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

CD Genomics provides fast and high-quality service to worldwide customers
at competitive prices. Our customers can contact our scientists to receive responses to their inquiries in a timely manner. If you are interested in our service,
please contact us for more details.

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