Ion Torrent™

Oncomine™ Comprehensive Assay Plus RNA, automated library preparation

Catalog number: A49671
Ion Torrent™

Oncomine™ Comprehensive Assay Plus RNA, automated library preparation

Catalog number: A49671
Catalog Number
A49671
Unit Size
32 samples
Price (EUR)
Quantity
Catalog NumberUnit SizePrice (EUR)Quantity
A4967132 samples
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The Oncomine Comprehensive Assay Plus RNA contains a targeted, multi-biomarker panel that enables highly sensitive and robust detection of known and novel fusions covering >1300 isoforms from 49 fusion drivers associated with solid tumors.

Key features of the assay include:
• Detection of targeted known-fusion detection, non-targeted detection of novel fusions, and novel fusion detection with unknown partners
• Highly sensitive and robust methodology with the ability to detect tiny levels of a tumor-specific fusion transcript in background normal RNA
• Robust performance from as little as 10 ng per pool of RNA isolated from FFPE samples including fine needle biopsies
• Characterized with molecular standards and controls
• Content driven by the Oncomine Knowledgebase and experienced scientists helps assure coverage of key targets aligned to published evidence

The Oncomine Comprehensive Assay Plus RNA provides the reagents for library construction and two pools of multiplex PCR primers for automated preparation of amplicon libraries from formalin-fixed paraffin embedded (FFPE) tumor samples using the Ion Chef instrument. The assay is optimized for sequencing on the Ion GeneStudio S5 systems with the Ion 550 Chip to enable up to 32 samples and a no-template control (NTC) per run.

When combined with Oncomine Reporter Software, you can focus on key drivers of cancer in your research.

For Research Use Only. Not for use in diagnostic procedures.

Specifications

Sample Type
RNA
Sequencing Type
Next Generation Sequencing
For Use With (Equipment)
Ion GeneStudio™ S5 Prime Systems, Ion Chef™ Instrument
Libraries
Targeted Sequencing Library (Amplicon based)
Product Line
Oncomine
Workflow Step
Library Generation

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