Company Filing History:
Years Active: 2009-2013
Title: Innovations of Kenneth Stineman
Introduction
Kenneth Stineman is a notable inventor based in San Jose, CA (US). He has made significant contributions to the field of genomic research, particularly in the analysis of large-scale sequencing data. With a total of 2 patents, his work has advanced the understanding of transcriptionally active regions and the quantification of sequence abundance.
Latest Patents
One of Kenneth's latest patents is titled "Method and system to characterize transcriptionally active regions and quantify sequence abundance for large scale sequencing data." This invention provides a quantitative method to determine transcriptionally active regions and quantify sequence abundance from large-scale sequencing data. The system processes large-scale sequence data from high-throughput sequencing, generates transcriptionally active region sequences as necessary, and quantifies the sequence abundance of the gene or transcriptionally active region. This method is particularly useful for analyses based on RNA expression profiling.
Another significant patent is the "Method for quantitative PCR data analysis system (QDAS)." This invention offers a method for the quantitation and quality assurance of QPCR data. It includes a method for extracting data curves from a QPCR assay, estimating the shape and characteristics of an amplification curve, and producing a quality score metric. Additionally, it provides a robust method for calculating a threshold cycle (C) value and classifying the status of the QPCR results.
Career Highlights
Kenneth Stineman is currently associated with Genomic Health, Inc., where he continues to innovate in the field of genomics. His work has been instrumental in enhancing the accuracy and efficiency of genomic data analysis.
Collaborations
Kenneth collaborates with Xitong Li, contributing to advancements in genomic research and technology.
Conclusion
Kenneth Stineman's contributions to the field of genomics through his innovative patents have significantly impacted the analysis of sequencing data. His work continues to pave the way for advancements in RNA expression profiling and QPCR data analysis.