flytaVec
flytaVec is a novel computational tool designed for the analysis of large-scale biological sequence data. It focuses on enabling efficient and accurate comparison of vector representations of biological sequences, such as DNA, RNA, or protein sequences. The core functionality of flytaVec lies in its ability to generate dense, continuous vector embeddings for these sequences, which capture complex biological relationships and patterns.
These vector embeddings are derived using advanced machine learning techniques, allowing for downstream tasks like similarity
The development of flytaVec is motivated by the increasing volume of genomic and proteomic data generated