High-throughput experimental technologies are generating increasingly massive and
complex genomic data sets. The sheer enormity and heterogeneity of these data threaten to …

Genomics is a Big Data science and is going to get much bigger, very soon, but it is not
known whether the needs of genomics will exceed other Big Data domains. Projecting to the …

Cryptographic methods have been extensively employed in various systems to address
security objectives, such as data confidentiality, authentication, and secure communication …

The combination of significantly lower cost and increased speed of sequencing has resulted
in an explosive growth of data submitted into the primary next-generation sequence data …

Neuromorphic systems are gaining increasing importance in an era where CMOS digital
computing techniques are reaching physical limits. These silicon systems mimic extremely …

Data storage costs have become an appreciable proportion of total cost in the creation and
analysis of DNA sequence data. Of particular concern is that the rate of increase in DNA …

We present Quip, a lossless compression algorithm for next-generation sequencing data in
the FASTQ and SAM/BAM formats. In addition to implementing reference-based …

Self-indexes–data structures that simultaneously provide fast search of and access to
compressed text–are promising for genomic data but in their usual form are not able to …

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 …