3 papers
cs.CE2026
MuSAlS: A Fast Multiple Sequence Alignment Approach Using Hierarchical Clustering
Emily G. Light, Morgan Prior, Noah M. Daniels +1
Motivation: The multiple sequence alignment (MSA) problem has been extensively studied, with numerous approaches developed over recent years. With the rapid growth of sequence data…
cs.DS2025
Let them have CAKES: A Cutting-Edge Algorithm for Scalable, Efficient, and Exact Search on Big Data
Morgan E. Prior, Thomas J. Howard, Oliver McLaughlin +3
The ongoing Big Data explosion has created a demand for efficient and scalable algorithms for similarity search. Most recent work has focused on \textit{approximate} -NN search,…
cs.DS2024
Generalized compression and compressive search of large datasets
Morgan E. Prior, Thomas Howard, Emily Light +2
The Big Data explosion has necessitated the development of search algorithms that scale sub-linearly in time and memory. While compression algorithms and search algorithms do exist…