Gain control of your PCR at the individual well level with AutoNorm™. NGS library normalization is a labor-intensive process that uses costly reagents. iconPCR’s AutoNorm enables customers to combine quantification and normalized pooling into one step to produce high quality libraries by ensuring individual reactions are amplified to the same levels. With iconPCR, libraries can be pooled prior to SPRI-bead cleanup, for a simple one-step single-tube purification, drastically reducing the most labor-intensive portion of the workflow and manual errors.
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Metagenomics sample variability in complexity and quality necessitates more amplification cycles for small amounts of material, risking chimeras and concatemers that lower sequence quality and yield. Overamplification from traditional PCR can skew species representation, diminishing actual diversity and leading to false negatives.
read the app noteStreamline FFPE workflows, reduce failures and wasted sequencing, and rescue samples often lost with conventional PCR for more reliable results and consistent yields.
FFPE samples, notorious for poor quality, see significant improvement with iconPCR. Using AutoNormalization library concentrations are normalized, reducing amplification challenges and adapter dimers. IconPCR streamlines FFPE workflows, reducing failures and unnecessary sequencing. This method rescues samples often lost with conventional PCR and ensures more dependable results and higher yields.
read the app noteiconPCR ensures every sequencing pool is perfectly balanced-no more wasted reads, reruns, or surprises.
Balancing sequencing pools is essential for efficient, cost-effective NGS. Traditional methods are error-prone and wasteful. iconPCR’s AutoNormalization amplifies each sample to its ideal level in real time, enabling equal-volume pooling and consistent results.
Read the app noteHow well do you know your indexes? Utilize iconPCR for index PCR to reveal differences in performance and help alleviate issues.
Indexes are not created equal nor do they perform the same in all conditions. Some designs will be prone to dimerisation, some will be at different concentrations, some will not be optimized at the right temperature. Differences in index performance may affect NGS libraries and sequencing results.
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