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Development and validation of a clinical cancer genomic profiling test based on massively parallel DNA sequencing

Researchers at Foundation Medicine have created a test to interrogate base substitutions, indels, copy number alterations and selected fusions across 287 cancer related genes from FFPE tumor samples using massively parallel next generation sequencing.

Learn more about KAPA HiFi and KAPA Library Quant kits.


Characterizing and measuring bias in sequence data

Researchers at the Broad Institute evaluate four sequencing platforms using human and microbial samples to assess sources of bias in sequencing and sample preparation workflow processes.

Find out how KAPA Library Prep helps reduce bias.


Optimal enzyme for amplifying sequencing libraries

Researchers at the Sanger Center investigate many thermostable DNA polymerases along with various reaction conditions for adapter-ligated fragments for Illumina Sequencing in efforts to determine and reduce bias.


Find out how KAPA HiFi helps reduce bias.

Development and validation of a clinical cancer genomic profiling test


Characterizing and measuring bias in sequence data


Optimal enzymes for amplifying sequence libraries

Gene Expression Analysis

Despite the high precision of qPCR, conclusions drawn from gene expression experiments are often misleading due to differences in amplification efficiency between the gene of interest and the housekeeping gene(s).

KAPA SYBR® FAST qPCR Kits contain an evolved DNA polymerase that exhibits improved speed, processivity and robustness resulting in consistently high amplification efficiencies required for accurate relative quantification, regardless of amplicon length or complexity.

For more detailed information on gene expression and how KAPA SYBR® FAST qPCR Kits can help to improve your results please download our new application notes:

Using TaqMan® instead of SYBR Green? Please follow the link to our new KAPA PROBE FAST qPCR Kits >>

Introducing KAPA Library Quantification Kits

Featured Product

Eliminate time-consuming and expensive titrations and reduce variability in cluster density or template-to-bead ratio with a high performance qPCR solution for next-gen sequencing library quantification.

Standard methods for quantifying next-generation sequencing libraries have a number of important disadvantages. Electrophoresis and spectrophotometry measure total nucleic acid concentrations, whereas optimal cluster density or template-to-bead ratio depend on the appropriate concentration of PCR-amplifiable DNA molecules. These methods also have low sensitivity, consuming nanograms of precious samples, and are not suitable for high-throughput workflows.

Quantitative PCR (qPCR) is inherently well-suited for next-generation sequencing library quantification:

  • qPCR specifically quantifies only PCR-competent DNA molecules,
  • is highly sensitive allowing accurate quantification of low concentration libraries,
  • is amenable to automated liquid handling.

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