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HUAREN MEDICAL TECHNOLOGY

R & D SERVICES

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Bioinformatics Analysis

 

Huaren Medical Technology Group has senior bioinformatics experts, team members have rich practical experience in the fields of database mining and bioinformatics analysis, and are proficient in the programming integration of various bioinformatics analysis software, capable of in-depth mining and analyzing massive sequencing data and its related databases. Choose Huaren Medical bioinformatics analysis to get comprehensive, efficient and accurate data analysis services. When carrying out some special research projects, you often encounter situations where basic analysis or advanced bioinformatics analysis cannot meet your needs, for which a series of customized bioanalysis services are specially launched, covering miRNA target gene prediction, gene-miRNA interaction prediction, lncRNA target gene prediction, gene-related transcription factor prediction for humans, rats, mice and other model organisms, miRNA-associated transcription factor prediction, protein interaction network analysis, RNA-binding protein prediction, etc., which can help your research progress.

 

• Differential Or Trend Analysis Of Gene Expression

Through high-throughput sequencing of public databases such as GEO, TCGA and clinical samples, we use bioinformatics to analyze gene expression differences or trends in diseases and predict possible disease targets or key genes for disease research.

• Weighted Gene Co-Expression Network Analysis (WGCNA)

Systems biology approaches describing patterns of gene association between different samples allow the identification of highly synergistically varying collections of genes with similar expression patterns that are likely to perform similar functions in the organism.

• Network Pharmacology Analysis

The system biology research carried out to address the multi-component and multi-target composite regulation of traditional Chinese medicine (TCM) can construct the action network between the active cost of the drug and the target of the disease, and predict the mechanism of action of TCM from a holistic point of view.

• Multi-Omics Coanalysis

The integrated use of multiple high-throughput histology technologies allows for multi-dimensional and multi-level data analysis, providing more comprehensive, systematic and accurate analysis results, facilitating the discovery of new biomarkers and potential therapeutic targets, and making it easier to study the pathogenesis of complex diseases.

 

• TCGA Analysis

Specialized in providing TCGA bioinformatics analysis for biomedical scientists to help accelerate the progress of cancer research. This analysis deeply covers cancer-related mRNA, lncRNA and miRNA and other genetic content, providing greater convenience for your scientific research.

• Literature Mining Services

Usually, after obtaining candidate genes or disease types by high-throughput sequencing or other means, scientists need to go through a lot of literature searches and manual analysis to further determine the most valuable research directions, which usually takes 3 to 6 months, and may even miss or arrive at the wrong research directions.
With the industry-leading bioinformatics platform, Huaren Medical provides scientists with personalized and rapid literature mining services. Simply provide the list of genes or diseases you are interested in, and you can get a comprehensive and complete report of valuable literature mining data in a few days, which includes the literature list of the target genes you are interested in, the species, links to the literature, publication information, date of publication, and statistical analysis of heat. It helps you to identify the most valuable research direction with less effort, and gain a more advantageous forward-looking thinking and research orientation.