CAPASYDIS

We introduce CAPASYDIS, a new method for mapping and visualizing large-scale biological sequence data. Our approach uniquely calculates asymmetric sequence distances to create a low-dimensional "seqverse" for each dataset. This framework allows for a standardized and scalable exploration of sequence relationships, even with massive datasets.

We illustrate the method by analyzing rRNA gene sequences from the three domains of life. Our results show that CAPASYDIS not only distinguishes between the domains in space, but also reveals unique characteristics in their shapes, sizes, and internal patterns of variation. Our findings suggest that this methodology helps define the boundaries of sequence space in a reproducible and scalable manner.