As one of the providers of expression microarray data analysis, CD Genomics uses bioinformatics to help you identify significantly differentially expressed or coexpressed genes. Our high-quality data analysis platform will be used to generate high-quality analysis results in a fast analysis cycle.
Research Advances in Gene Expression Microarray Data Analysis
Unlike most traditional molecular biology tools, microarrays facilitate the discovery of novel and unexpected functional roles for genes. The power of these tools has been applied to a range of applications, including the discovery of new disease subtypes, the development of new diagnostic tools, and the identification of potential mechanisms of disease or drug response. However, this technology inevitably generates large amounts of data, challenging us to interpret it using modern computational and statistical tools. Expression microarray data analysis plays a crucial role in the field of genomics, enabling researchers to reveal the functional roles of genes, explore gene-gene interactions, and understand the underlying mechanisms that drive biological processes.
Fig. 1. Overview of steps in a typical gene expression microarray experiment. (Slonim DK, et al, 2009)
We Can Help Our Clients With:
Our expression microarray data analysis services have diverse applications in various research areas:
Disease biomarker discovery: microarray analysis allows our researchers to identify genes that exhibit altered expression patterns in different diseases or disease subtypes. By comparing gene expression profiles between healthy and diseased individuals, potential biomarkers can be identified. These biomarkers can be used as important indicators for disease diagnosis, prognosis and monitoring response to therapy. Our ultimate goal is to discover potential molecular signatures associated with different diseases and to facilitate the development of personalized medicine approaches.
Drug response and toxicity assessment: expression microarray data analysis provides insight into transcriptional changes induced by drug treatment and facilitates the identification of drug targets as well as the assessment of drug efficacy and safety. By analyzing gene expression profiles before and after drug exposure, our researchers can assess the effects of drugs on specific cellular pathways and identify potential side effects.
Functional genomics and pathway analysis: expression microarray data analysis is essential to elucidate the functional roles of genes and to elucidate complex cellular pathways. By examining gene expression patterns under different biological conditions, our researchers can identify co-regulated genes and decipher potential regulatory networks. Pathway analysis tools can identify key biological pathways that are dysregulated in specific diseases or conditions.
CD Genomics Data Analysis Pipeline:
CD Genomics utilizes cutting-edge technology and robust analysis methods to provide accurate and reliable results for expression microarray data, allowing the simultaneous study of thousands of genes and their expression levels. Our services cover the entire workflow of expression microarray data analysis, from pre-processing to data analysis, ensuring accurate and reliable results.
(1) Data pre-processing
Raw microarray data undergoes pre-processing steps including image analysis, background correction, normalization and quality control. These steps ensure that the data are free of technical artifacts and biases so that accurate downstream analysis can be performed.
(2) Differential expression analysis
Statistical analysis techniques are used to identify genes that exhibit significant expression changes between samples or conditions. These techniques take into account multiple comparisons and employ appropriate statistical tests to determine the statistical significance of the observed changes.
(3) Functional annotation and interpretation
Functional annotation of differentially expressed genes is performed using various databases and ontologies. This step helps our researchers to gain insight into the biological processes, molecular functions and pathways associated with the identified genes. Interpretation of the findings involves identifying key biological themes and potential interactions between genes and pathways.
(4) Data visualization and reporting
The final step involves visualizing the results and preparing comprehensive reports using appropriate visualization techniques. Visualizations such as heat maps, volcano maps, and pathway maps help to visualize and understand the data. These reports provide detailed summaries, interpretations of findings, and insights that are actionable for further research or clinical applications.
Expression Microarray Data Analysis Content:
| Feature Extraction |
Convert scanned images of microarrays into quantifiable values and annotate them with gene IDs, sample names, and other useful information. |
| Quality Control |
Start with a visual inspection of the scanned microarray images to ensure that there are no obvious spots, scratches or blank areas. |
| Normalization |
Normalization of microarray data is used to control for technical differences between assays while preserving biological differences. |
| Differential Expression Analysis |
Identify genes that are differentially expressed under different conditions. |
| Biological Interpretation of Results |
Provides valuable insights into biological processes, pathways and networks associated with identified genes. |
How It Works
CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.
With its extensive experience, advanced technology, and comprehensive services, CD Genomics is your trusted partner for extracting meaningful insights from microarray data. Whether it is in disease biomarker discovery, drug response assessment or pathway analysis, our expertise and customized solutions ensure accurate analysis and interpretation. If you are interested in our services, please contact us for more detailed information.
Reference
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Slonim DK, Yanai I. Getting started in gene expression microarray analysis. PLoS Comput Biol. 2009 Oct;5(10):e1000543.
