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Solaris qPCR Gene Expression Master Mix

Solaris qPCR Master Mix has been developed in conjunction with Solaris qPCR Gene Expression Assays for quantification of DNA and cDNA. Optimal qPCR results using probe detection chemistries can be achieved by using this same system of qPCR products. Optimized Solaris qPCR Master Mixes have been developed to ensure the best possible Solaris assay performance. In addition to enhanced performance, these optimized reagents offer…

Thermo Fisher Scientific

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Average Rating 4.5

|2Scientists have reviewed this product

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Motivates me to ge the job done.

 

Average Rating 4.3

Application Area:

Performing Corona PCR analyses

Effective and good value for money.

Review Date: 23 Jul 2021 | Thermo Fisher Scientific

Best way to run RT-PCR

 

Average Rating 4.7

Application Area:

Real Time PCR

Easy all-in-one mix saves time, money and eliminates any subjectivity based on mixing in-house each run. Comes in a convenient 2X concentration.

Review Date: 24 Nov 2015 | Thermo Fisher Scientific

Solaris qPCR Master Mix has been developed in conjunction with Solaris qPCR Gene Expression Assays for quantification of DNA and cDNA. Optimal qPCR results using probe detection chemistries can be achieved by using this same system of qPCR products.

Optimized Solaris qPCR Master Mixes have been developed to ensure the best possible Solaris assay performance. In addition to enhanced performance, these optimized reagents offer a unique feature – they’re blue. This visual confirmation of set-up helps eliminate pipetting errors and further enhances the repeatability of your data. Solaris qPCR Master Mixes are compatible with all commonly used real-time instrument platforms.

Application NoteLife Sciences

Thermo Scientific PCR and qPCR Cycle Optimization for Faster Results

PCR and real-time quantitative PCR (qPCR) are widely used technologies for many applications. The faster the results can be obtained, the more quickly research can move forward. By optimizing the cycling conditions, significant time can be saved. The ramp rates and heat dispersion of different instruments will affect how much cycle optimization a researcher can perform. This application note demonstrates examples of the optimization process.

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