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Omics Research
Transcriptomics

Microarray Analysis

Gain insights in large-scale, high-throughput genomic analyses.

Let's Talk About Microarrays

What is Microarray Analysis?


Microarray is a multiplex genomics approach that targets and quantifies specific genes by hybridizing the nucleic acid to a chip and providing an output of genotyping data on a genome-wide scale.

 

Why is Microarray Analysis Important?

 

This advanced process enables research teams to examine gene expression and quantify disease-related mutations caused by cancer and other illnesses. 

 

Applications include: development of more accurate disease detection methods & diagnoses, individualized treatment planning, and polygenic risk scoring (PRS) used in epidemiology.

What Can You Do?

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Detect Disease

Develop and test new methods for detecting diseases earlier.

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Identify Changing Gene Expression

Compare diseased to normal patients to determine gene expression effects.

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Track Treatment Response

Monitor efficacy of therapeutic administration through gene expression.

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Improve Cost-Effectiveness

Use arrays as a great alternative to sequencing when you are only interested in a subset of genes.

Tools for Microarray Analysis

llumina® iScanTM System Array Scanning
  • Best for:
    Microarray interrogation using Illumina Infinium BeadArray™ products 

  • Benefits:
    Excellent tool for assay genotyping, copy number variation (CNV) analysis, and DNA methylation

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    → Learn More About the iScan™ System
Clinical Microarray Validation
  • Best for:
    Evaluating existing or custom genomics microarrays for lab-developed test (LDT) validation

  • Benefits:
    CLIA certified

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Ready for the Next Step?

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Resources

Psomagen
PSO_Web-Header_NovaSeq

Think PSO Big!

What insights could you gain from microarray processing?

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Stretch Your Discovery Budget

Microarray is a well-established, lower-cost genomics technology. When cost is important, consider these other sequencing solutions.

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Low Pass Sequencing
More on Low-Pass Sequencing
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Targeted Sequencing
More on Targeted Sequencing