Latest App Notes & Case Studies

This app note highlights the latest ddPCRTM solutions for advanced assay multiplexing. It demonstrates how researchers can get the most out of precious clinical samples, with time and cost-saving advantages over gene sequencing methods.

To accelerate the discovery of new cancer biomarkers and new insights into the genetics of treatment-resistant tumors, it is crucial to gain a deeper understanding of the genomic and epigenomic variations in cancer.

Targeted sequencing based on NGS offers new perspectives in drug selection for cancer patients. The accuracy of mutation analysis relies on the tumor content of the tissue samples.

This application note demonstrates the successful identification of two low-abundance monoclonal antibodies using next-generation protein sequencing.

Oligonucleotides play a crucial role in modern drug development, therefore their accurate characterization is essential. However, given the sheer complexity and diversity of the types of oligonucleotides that are in clinical development, a range of diverse analytical approaches are necessary.

This application note compares the use of pulsed- and constant-field technologies to support researchers in choosing the most suitable automated instrument for their sequencing workflow.

This technical overview highlights the latest fragment analysis and electrophoresis solutions for adapter dimer detection. It explores how greater detection and resolution capabilities can support sequencing efficiency and quality control (QC).

Microbial whole-genome sequencing (WGS) can support taxanomic classification, functional characterization and identify anti-microbial resistance in diverse sample types. It can provide greater resolution and more quantitative insights compared to shotgun and 16S methods.

The 16S ribosomal RNA (16S rRNA) gene is present in most bacterial species. As it contains both highly conserved and variable regions, it can be used to identify and classify different taxonomic levels.

Studying DNA methylation at correlated gene regions can provide researchers with insights into disease-associated epigenetic variation. Hence, cost-effective sequencing is essential for our advancement and understanding of epigenetic epidemiology.