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.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…
cs.DS2023
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,…