Bioinformatics-Analysis, a division of CD Genomics, has a professional bioinformatics analysis team and rich experience in biological data analysis projects. We provide customers with professional microarray data analysis services, aiming to to help you dig out the biological significance of microarray data. help you reduce the time and cost of wet laboratory experiments and data generation. With a professional data analysis team, we provide you with customized data mining services to meet your research needs.
The rise of microarray and other high-throughput screen technologies will undoubtedly become the mainstream of this century. The main advantage of the microarray experiment is that it can simultaneously detect the expression of tens of thousands of genes in a large and comprehensive manner. For example, through the gene microarray, the genes that may be affected by the disease can be found in a short time as a biomarker for early diagnosis.
Microarray data analysis is a sequence analysis method for high-throughput genotyping and expression analysis. Microarray can generate high-quality data and enable academic and research institutions to quickly complete large-scale PoP research, so it can better meet the continuous development of research project requirements. Because microarray analysis can process large-scale samples at a time, and the short turnaround times allow researchers to conduct data analysis quickly, thereby shortening the time for issuing and submitting funding. Currently, the common commercial microarray platforms on the market include Affymetrix, Illumina, and Nimblegen, etc.
Fig 1. Visualization tools for microarray analysis. (Allison D B , et al. 2006)
CD Genomics provides microarray data analysis service for different commercial microarray platforms like Affymetrix, Illumina, and Nimblegen, etc, and we offer different applications of microarray data analysis services including:
Gene expression profiling analysis.
Chip-on-Chip Analysis (location analysis).
Comparative genomic hybridization (CGH, CGH+SNP).
Target labeling, hybridization, signal detection and data analysis (CGH).
DNA methylation analysis.
Custom SNP profiling.
Custom microarray for NGS data Validation.
An experienced analytical team.
Standardized analysis process.
Strict data quality control.
Reliable analysis results.
Fast analysis cycle.
CD Genomics provides a series of microarray data analysis solutions, including quality control, differential expression, enriched peak detection, methylation regions, indels, and SNP calls, which can help researchers derive meaningful conclusions from their microarray data. In addition, CD Genomics has a complete, fast, efficient, sensitive and highly accurate microarray data analysis pipeline, and provide you with fast, efficient and comprehensive analysis content.
|Data pre-processing||Data quality control and data normalization|
|Gene expression analysis||Differential gene expression analysis|
|Determination of differential gene expression by ANOVA and fold change.|
|Draw a volcano map|
|Gene expression heat map|
|Clustering analysis||K-means cluster analysis|
|Hierarchical cluster analysis|
|Function and Pathway analysis||GO enrichment analysis of differentially expressed genes|
|KEGG pathway enrichment analysis of differentially expressed genes|
|Customized analysis||Meta Core network analysis|
About one to two weeks, it’s related to the microarray data analysis applications, content of the project, and depending on the number of samples and the quality and size of the sample data. For more information, please contact us.
CD Genomics has over a decade of experience in microarray data analysis. We can help you with your project from experimental data (such as microarray research services) through all analyses and to result report at competitive rates. If you have any questions about how we can help you, please get in touch. We look forward to working with you, and we will provide you with satisfactory data mining services.!