Orthon

Orthon is a mathematical framework used in the context of searching and analyzing large datasets, often in bioinformatics or data science. It involves creating specialized, highly efficient data structures called "orthogonal" representations that allow quick and accurate querying of complex information, such as identifying sequences or patterns within massive amounts of data. By organizing data based on orthogonal properties—meaning they are mutually independent or non-overlapping—Orthon enhances search speed and reduces errors, facilitating faster and more reliable data analysis in fields like genomics, text processing, and machine learning.