Improvements in DNA sequencing technologies allow to se-quence complete human genomes in a short time and at acceptable cost. Hence, the vision of genome analysis as standard procedure to support and improve medical treat-ment becomes reachable. In this vision paper, we describe important data-management challenges that have to be met to make this vision come true. Besides genome-analysis performance, data-management capabilities such as data provenance and data integrity become increasingly impor-tant to enable comprehensible and reliable genome analysis. We argue to meet these challenges by using main-memory database technologies, which combine fast processing capa-bilities with extensive data-management capabilities. Finally, we discuss ...
Abstract: Genome databases store data about molecular biological entities such as genes, proteins, d...
Motivation We previously proposed a paradigm shift in genomic data management, based on the Genomic...
The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in...
Mutations in genomes can indicate a predisposition for dis-eases such as cancer or cardiovascular di...
The bioinformatics field has encountered a data deluge over the last years, due to in- creasing spe...
International audienceThis paper presents a joint effort between a group of computer scientists and ...
Abstract—Latest medical diagnostics, such as genome sequencing, generate increasing amounts of "...
Next-generation sequencing (NGS) has dramatically reduced the cost and time of reading the DNA. Huge...
Abstract Background Plummeting DNA sequencing cost in recent years has enabled genome sequencing pro...
Next-generation sequencing (NGS) technology has led the life sciences into the big data era. Today, ...
Many publications have demonstrated the huge potential of NGS methods in terms of new species discov...
Next-generation sequencing (NGS) technology has led the life sciences into the big data era. Today, ...
With the increasing adoption of next generation sequencing technology in the medical practice, there...
Genome analysis benefits precise medical care, wildlife conservation, pandemic treatment, e.g., COVI...
Abstract: Genome databases store data about molecular biological entities such as genes, proteins, d...
Motivation We previously proposed a paradigm shift in genomic data management, based on the Genomic...
The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in...
Mutations in genomes can indicate a predisposition for dis-eases such as cancer or cardiovascular di...
The bioinformatics field has encountered a data deluge over the last years, due to in- creasing spe...
International audienceThis paper presents a joint effort between a group of computer scientists and ...
Abstract—Latest medical diagnostics, such as genome sequencing, generate increasing amounts of "...
Next-generation sequencing (NGS) has dramatically reduced the cost and time of reading the DNA. Huge...
Abstract Background Plummeting DNA sequencing cost in recent years has enabled genome sequencing pro...
Next-generation sequencing (NGS) technology has led the life sciences into the big data era. Today, ...
Many publications have demonstrated the huge potential of NGS methods in terms of new species discov...
Next-generation sequencing (NGS) technology has led the life sciences into the big data era. Today, ...
With the increasing adoption of next generation sequencing technology in the medical practice, there...
Genome analysis benefits precise medical care, wildlife conservation, pandemic treatment, e.g., COVI...
Abstract: Genome databases store data about molecular biological entities such as genes, proteins, d...
Motivation We previously proposed a paradigm shift in genomic data management, based on the Genomic...
The revolution in next-generation DNA sequencing technologies is leading to explosive data growth in...