QIAGEN Digital Insight solutions for single-cell gene expression analysis help biologists and bioinformaticians reveal complex and rare cell populations, uncover regulatory relationships among genes and analyze and visualize gene expression differences among different cell types, or within a unique cell type. Interpret and explore the underlying biology and integrate ‘omics datasets from different platforms to gain insights into the biology and molecular drivers of specific cell populations.
Tools and techniques to study single-cell gene expression analysis:
Discover subtle differences in gene expression among individual cells by importing and processing single-cell experiments, starting with raw FASTQ or quantification data using a single-cell RNA-seq pipeline within OmicSoft Studio. Harness the power of OmicSoft Suite’s project sharing to collaboratively analyze and annotate cell clusters.
Characterize outlier cells within a population to help you understand how cells develop drug resistance, or how relapse occurs, during cancer treatment. Analyze the genome of circulating tumor cells (CTCs) to reveal drivers of tumorigenesis or biological pathways involved in metastasis and cancer cell propagation. QIAGEN OmicSoft Studio allows you to integrate single-cell ‘omics datasets from different platforms to reveal unique patterns in a specific cancer cell type or subset.
QIAGEN Ingenuity Pathway Analysis allows you to analyze expression profiles of specific pathways and interpret and explore the underlying biology.
Request a consultation with one of our bioinformatics specialists to discuss your specific research requirements for single-cell gene expression analysis.
Analyze NGS and 'omics data from Sample to Insight using our highly visual and specialized tools for data normalization, quality control, read mapping, gene expression and more
Generate insights from complex 'omics data and deepen your understanding of the biological mechanisms hidden in your experiments
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