Digital PCR threshold robustness analysis and optimization using dipcensR.

ABSTRACT: Digital polymerase chain reaction (dPCR) is a best-in-class molecular biology technique for the accurate and precise quantification of nucleic acids. The recent maturation of dPCR technology allows the quantification of up to thousands of targeted nucleic acids per instrument per day. A key step in the dPCR data analysis workflow is the classification of partitions into two classes based on their partition intensities: partitions either containing or lacking target nucleic acids of interest. Much effort has been invested in the design and tailoring of automated dPCR partition classification procedures, and such procedures will be increasingly important as the technology ventures into high-throughput applications. However, automated partition classification is not fail-safe, and evaluation

SUBMITTER: Vynck M 

PROVIDER: S-EPMC11472245 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature