Recently, there has been growing interest in genome sequencing, driven by advances in
sequencing technology, in terms of both efficiency and affordability. These developments …

Sequential data is being generated at an unprecedented pace in various forms, including
text and genomic data. This creates the need for efficient compression mechanisms to …

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome data are essential
for epidemiology, vaccine development, and tracking emerging variants. Millions of SARS …

The ever increasing growth of the production of high-throughput sequencing data poses a
serious challenge to the storage, processing and transmission of these data. As frequently …

We consider lossless compression based on statistical data modeling followed by prediction-
based encoding, where an accurate statistical model for the input data leads to substantial …

Background The increasing production of genomic data has led to an intensified need for
models that can cope efficiently with the lossless compression of DNA sequences. Important …

The amount of data produced by modern sequencing instruments that needs to be stored is
huge. Therefore it is not surprising that a lot of work has been done in the field of specialized …

Background Nearly all molecular sequence databases currently use gzip for data
compression. Ongoing rapid accumulation of stored data calls for a more efficient …

The increasing availability of expressive quantities of human viral sequenced samples,
namely from clinical and forensic contexts, has led to the emergence of many optimized …

Background Viruses are among the shortest yet highly abundant species that harbor
minimal instructions to infect cells, adapt, multiply, and exist. However, with the current …