San Marcos, CA, United States of America

Yutao Fu

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 8.5

ph-index = 1


Company Filing History:


Years Active: 2023-2024

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2 patents (USPTO):Explore Patents

Title: Yutao Fu: Innovator in DNA Sequencing Technologies

Introduction

Yutao Fu is a prominent inventor based in San Marcos, CA, specializing in advanced DNA sequencing technologies. With a focus on improving the accuracy and efficiency of massive parallel sequencing, Fu has made significant contributions to the field of genomics.

Latest Patents

Yutao Fu holds two notable patents. The first patent is titled "Methods and compositions for reducing base errors of massive parallel sequencing using triseq sequencing." This invention involves a two-part method that includes ligating a UMI adapter, amplifying DNA fragments, enriching target molecules, and sequencing the DNA library using next-generation sequencing (NGS). The second patent, "Methods and compositions for amplifying DNA and generating DNA sequencing results from target-enriched DNA molecules," also comprises two parts. This method, referred to as SubDivision-Seq, focuses on creating a target-enriched DNA library and deducing consensus sequences from subclones and primary clones.

Career Highlights

Yutao Fu is currently employed at Paragon Genomics, Inc., where he continues to develop innovative solutions in the field of DNA sequencing. His work has been instrumental in enhancing the sensitivity and accuracy of sequencing results, which is crucial for various applications in genomics and personalized medicine.

Collaborations

Fu collaborates with talented individuals in his field, including Zhitong Liu and David Debruyne. These partnerships foster a creative environment that drives innovation and advances the technology behind DNA sequencing.

Conclusion

Yutao Fu's contributions to DNA sequencing technologies through his patents and work at Paragon Genomics, Inc. highlight his role as a key innovator in the field. His advancements are paving the way for more accurate and efficient genomic analysis.

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