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Gene Regulation

Analyze and interpret data from experiments that help reveal more about gene regulation. From bisulfite-sequencing to transcription factor ChIP-seq, QIAGEN Digital Insights has the gene regulation analysis tools you need to derive insights from your data.

Intuitive tools to help reveal the drivers of genomic regulation

Mechanisms of genomic regulation, such as DNA methylation, transcription factor binding and post-translational protein modifications, affect gene expression, protein function and ultimately cellular function. QIAGEN Digital Insights offers intuitive gene regulation analysis tools to help you reveal the drivers of genomic regulation that control cellular biology, from signaling to differentiation and development.

Applications and techniques for gene regulation analysis:

  • DNA methylation analysis 
  • Post-translational protein modification (PTMs)
  • Transcription factor binding
  • Regulatory networks

Tools and applications for gene regulation analysis:

DNA methylation analysis

Cytosine methylation is one of the most highly-studied forms of epigenetic regulation of gene expression. The Bisulfite Sequencing Plugin for QIAGEN CLC Genomics Workbench offers an all-in-one solution to common problems that scientists face when studying cytosine methylation data.

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Transcription factor binding

QIAGEN CLC Genomics Workbench delivers deep insights into transcriptional regulation and epigenetic modifications. Transcription factor ChIP-seq exposes defined peak regions characteristic of transcription binding sites throughout the whole genome, made accessible through our interactive graphical user interface and ChIP-Seq tools. A specific plugin is available, which links to TRANSFAC for prediction of transcription factor binding sites. You can also explore and analyze DNA methylation with our bisulfite-sequencing tools.

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Post-translational protein modification (PTMs)

QIAGEN IPA helps you understand the cause and effect of protein phosphorylation changes. Predict which upstream regulators are responsible and whether those regulators are activated or inhibited, and visualize effects on downstream biological processes, diseases and established biological pathways. Uncover mechanistic links in complex phosphoproteomics data, and predict affected downstream processes or diseases.

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Regulatory networks

QIAGEN IPA enables you to understand regulatory networks by tying key regulators to the predicted downstream effects on biological and disease processes. Build and explore transcriptional networks, microRNA-mRNA target networks, phosphorylation cascades and protein-protein or protein-DNA interaction networks and understand their impact on other signaling pathways and biological endpoints.

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Interested in our solutions for gene regulation analysis?

Request a consultation with one of our bioinformatics specialists to discuss your specific research requirements for gene regulation analysis.

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