Post-Sanger sequencing methods produce tons of data, and there is a generalagreement
that the challenge to store and process them must be addressedwith data compression. In …

The exponential growth of high-throughput DNA sequence data has posed great challenges
to genomic data storage, retrieval and transmission. Compression is a critical tool to address …

Motivation: Storing, transferring and maintaining genomic databases becomes a major
challenge because of the rapid technology progress in DNA sequencing and …

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 …

In the past decade, next-generation sequencing (NGS) enabled the generation of genomic
data in a cost-effective, high-throughput manner. The most recent third-generation …

Research in the genomic sciences is confronted with the volume of sequencing and
resequencing data increasing at a higher pace than that of data storage and communication …

We consider the problem of computing the Maximal Exact Matches (MEMs) of a given
pattern $ P [1.. m] $ on a large repetitive text collection $ T [1.. n] $, which is represented as a …

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 …

Genomic repositories increasingly include individual as well as reference sequences, which
tend to share long identical and near-identical strings of nucleotides. However, the …

In many applications, sets of similar texts or sequences are of high importance. Prominent
examples are revision histories of documents or genomic sequences. Modern high …