This research concerns Learned Data Structures, a recent area that has
e...
Digital Transformation (DT) is the process of integrating digital
techno...
Motivation: A Genomic Dictionary, i.e., the set of the k-mers appearing ...
Learned Bloom Filters, i.e., models induced from data via machine learni...
Introduced about thirty years ago in the field of Data Compression, the
...
With the aim of obtaining time/space improvements in classic Data Struct...
The Searching on Sorted Data (SOSD, in short) is a highly engineered
sof...
Bloom Filters are a fundamental and pervasive data structure. Within the...
Machine Learning Techniques, properly combined with Data Structures, hav...
With the rapid growth of Next Generation Sequencing (NGS) technologies, ...
Motivation: Alignment-free (AF, for short) distance/similarity functions...
Motivation: Storage of genomic data is a major cost for the Life Science...
Sorted Table Search Procedures are the quintessential query-answering to...
Motivation: Alignment-free distance and similarity functions (AF functio...
Alignment-free similarity/distance functions, a computationally convenie...
The Burrows-Wheeler Transform (BWT) is a word transformation introduced ...
The Burrows-Wheeler Transform is a string transformation that plays a
fu...
Distributed approaches based on the map-reduce programming paradigm have...