Background: Next Generation Genome sequencing techniques became affordable for massive sequencing efforts devoted to clinical characterization of human diseases. However, the cost of providing cloud-based data analysis of the mounting datasets remains a concerning bottleneck for providing cost-effective clinical services. To address this computational problem, it is important to optimize the variant analysis workflow and the used analysis tools to reduce the overall computational processing time, and concomitantly reduce the processing cost. Furthermore, it is important to capitalize on the use of the recent development in the cloud computing market, which have witnessed more providers competing in terms of products and prices. Results: In ...
Background: While next-generation sequencing (NGS) costs have plummeted in recent years, cost and co...
In this paper, we explore the benefits of automatically determining the degree of parallelism used t...
Objective Advancements in human genomics have generated a surge of available data, fueling the gr...
Abstract Background Next Gener...
Population scale sequencing of whole human genomes is becoming economically feasible; however, data ...
<div><p>The increasing public availability of personal complete genome sequencing data has ushered i...
<div><p>Population scale sequencing of whole human genomes is becoming economically feasible; howeve...
Background: While next-generation sequencing (NGS) costs have plummeted in recent years, cost and co...
Background Comparative genomics resources, such as ortholog detection tools and repositories are rap...
Abstract. Genomic variant analysis is a complex process that allows to find and study genome mutatio...
Many time-consuming analyses of next -: generation sequencing data can be addressed with modern clou...
A major bottleneck in biological discovery is now emerging at the computational level. Cloud computi...
Summary: Many time-consuming analyses of next-generation sequencing data can be addressed with moder...
<div><p>A major bottleneck in biological discovery is now emerging at the computational level. Cloud...
In recent studies, exome sequencing has proven to be a successful screening tool for the identificat...
Background: While next-generation sequencing (NGS) costs have plummeted in recent years, cost and co...
In this paper, we explore the benefits of automatically determining the degree of parallelism used t...
Objective Advancements in human genomics have generated a surge of available data, fueling the gr...
Abstract Background Next Gener...
Population scale sequencing of whole human genomes is becoming economically feasible; however, data ...
<div><p>The increasing public availability of personal complete genome sequencing data has ushered i...
<div><p>Population scale sequencing of whole human genomes is becoming economically feasible; howeve...
Background: While next-generation sequencing (NGS) costs have plummeted in recent years, cost and co...
Background Comparative genomics resources, such as ortholog detection tools and repositories are rap...
Abstract. Genomic variant analysis is a complex process that allows to find and study genome mutatio...
Many time-consuming analyses of next -: generation sequencing data can be addressed with modern clou...
A major bottleneck in biological discovery is now emerging at the computational level. Cloud computi...
Summary: Many time-consuming analyses of next-generation sequencing data can be addressed with moder...
<div><p>A major bottleneck in biological discovery is now emerging at the computational level. Cloud...
In recent studies, exome sequencing has proven to be a successful screening tool for the identificat...
Background: While next-generation sequencing (NGS) costs have plummeted in recent years, cost and co...
In this paper, we explore the benefits of automatically determining the degree of parallelism used t...
Objective Advancements in human genomics have generated a surge of available data, fueling the gr...