Protein Biotinylation Kit

Description 

The ExcelTaq™ 2X Q-PCR Master Mix (TaqMan, ROX) is a ready-to-use reagent with all the essential components for quantitative real-time PCR (qPCR) except primers, TaqMan probes and templates. The master mix includes a 5’ to 3’ exonuclease activity to cleave TaqMan probes that hybridize to target sequences, releasing fluorophore during probe displacement. With TaqMan probes, the master mix features high specificity and high sensitivity. The ExcelTaq™ 2X Q-PCR Master Mix (TaqMan, ROX) contains hot-start Taq polymerase in an optimized buffer that allows for sensitive and precise amplification, real-time tracking of the amplification process, and simultaneous quantification for targeted DNA molecules. The master mix includes ROX reference dye for the normalization of each qPCR assay. The ExcelTaq™ 2X Q-PCR Master Mix (TaqMan, ROX) is ready-to-use and greatly reduces pipetting errors, while largely improving the reproducibility of the process.

Features

• High Specificity
• High Sensitivity
• With ROX Reference Dye

Storage

Protect from light. 
Aliquot to avoid multiple freeze-thaw cycles. 
-20°C for 12 months

The ExcelTaq™ 2X Q-PCR Master Mix (TaqMan, ROX) is a ready-to-use reagent with all the essential components for quantitative real-time PCR (qPCR) except primers, TaqMan probes and templates. The master mix includes a 5’ to 3’ exonuclease activity to cleave TaqMan probes that hybridize to target sequences, releasing fluorophore during probe displacement. With TaqMan probes, the master mix features high specificity and high sensitivity. The ExcelTaq™ 2X Q-PCR Master Mix (TaqMan, ROX) contains hot-start Taq polymerase in an optimized buffer that allows for sensitive and precise amplification, real-time tracking of the amplification process, and simultaneous quantification for targeted DNA molecules. The master mix includes ROX reference dye for the normalization of each qPCR assay. The ExcelTaq™ 2X Q-PCR Master Mix (TaqMan, ROX) is ready-to-use and greatly reduces pipetting errors, while largely improving the reproducibility of the process.