Latest App Notes & Case Studies

Over the past decade there has been a widespread adoption of CRISPR/Cas9-based methods for genome editing in biological systems ranging from cultured cells to entire animals.

During pharmaceutical development and manufacturing, there is always the question: are you following methods for current good laboratory practice or current good manufacturing practice?

Hybridization capture-based target enrichment employs probes to select sequences of interest in a next generation sequencing (NGS) library.

Targeted next-generation sequencing (NGS) is a well-established and powerful tool for somatic oncology research. NGS pipelines for the analysis of somatic variants require efficient methods for enriched library preparation from challenging sample types, relevant, optimized enrichment panels and advanced bioinformatic tools.

Download this app note to learn more about the key considerations for the use of novel molecular diagnostics such as ensuring supply and integrity of raw materials and preparing for commercial success.

Current in vitro models of the small intestine offer limited predictivity due to their reliance on immortalized cell lines and static culture. To better predict human response to drug candidates, researchers need a model than can more closely recreate the intestinal microenvironment.

A crucial step in any pharmaceutical production is the purification of the product. The purification of oligonucleotides (ONs) can be particularly challenging because of the high similarity of target and impurities.

Download this application focus to learn more about the solutions available to optimize the sensitivity of viral detection.

Large-insert libraries require specific quality conditions of the starting genomic DNA (gDNA) material for successful outcomes. Physical, enzymatic and chemical shearing of gDNA into smaller fragments can occur at many different points during extraction and handling of gDNA.

While identifying single nucleotide variants (SNVs) and small insertions/deletions (indels) from NGS data has become routine and well established, it is still quite a challenge to accurately detect germline copy-number variations (CNVs) from exome sequencing data as compared to the more conventional methodologies for CNV detection, including comparative genome hybridization arrays.