San Francisco, CA, United States of America

Nigel Delaney

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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2 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Nigel Delaney

Introduction

Nigel Delaney is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of genetic sequencing and data analysis, holding a total of 2 patents. His work focuses on enhancing the accuracy and efficiency of genetic data processing.

Latest Patents

Delaney's latest patents include "Systems and methods for index hopping filtering" and "Evolutionary models of multiple sequence alignments to predict offspring fitness prior to conception." The first patent provides methods for filtering genetic sequences by identifying read pairs that share common hash values but differ in index values. This innovative approach allows for the removal of redundant reads, thereby improving data quality. The second patent involves a system for analyzing aligned genetic sequences from multiple organisms to compute evolutionary variation. This method aids in predicting the likelihood of deleterious mutations in simulated progeny, which can have significant implications in genetic research.

Career Highlights

Throughout his career, Delaney has worked with prominent companies such as Ancestry.com DNA, LLC and 10x Genomics, Inc. His experience in these organizations has allowed him to develop cutting-edge technologies that advance the field of genetics.

Collaborations

Delaney has collaborated with notable individuals in his field, including Ari Silver and Lee M Silver. These partnerships have contributed to the success of his innovative projects and patents.

Conclusion

Nigel Delaney's contributions to genetic sequencing and data analysis demonstrate his commitment to innovation in the field. His patents reflect a deep understanding of genetic complexities and a drive to improve methodologies in genetic research.

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