Company Filing History:
Years Active: 2000
Title: Juergen Haas: Innovator in Computational Analysis
Introduction
Juergen Haas is a notable inventor based in Gaithersburg, MD (US). He has made significant contributions to the field of computational analysis, particularly in identifying clusters within sets of patterns. His innovative approach has implications in various scientific domains, including biochemistry and genetics.
Latest Patents
Juergen Haas holds a patent for a "Method and system for computationally identifying clusters within a set." This patent describes a method and system for computationally analyzing an initial set of patterns to identify subsets, known as clusters, that contain common sub-patterns. The analysis involves representing patterns as linear sequences of subunits, with common sub-patterns occurring as sub-sequences within these sequences. The method is particularly useful for analyzing oligonucleotide sequences produced by biochemical techniques to identify clusters that may correspond to different binding sites for DNA-binding proteins within double-stranded DNA duplexes. This innovative method allows for the dynamic adjustment of clusters and the recalculation of an information weight matrix until a threshold value is reached.
Career Highlights
Juergen Haas is associated with Gene Logic, Inc., where he applies his expertise in computational analysis. His work at the company has contributed to advancements in understanding complex biological systems through innovative computational methods.
Collaborations
[This section has been skipped due to space constraints.]
Conclusion
Juergen Haas is a distinguished inventor whose work in computational analysis has paved the way for new methodologies in identifying patterns and clusters in biological data. His contributions continue to influence the fields of biochemistry and genetics.