Cloud computing has started to change the way how bioinformatics research is being carried out. Researchers who have taken advantage of this technology can process larger amounts of data and speed up scientific discovery. The variability in data volume results in variable computing requirements. Therefore, bioinformatics researchers are pursuing more reliable and efficient methods for conducting sequencing analyses. This paper proposes an automated resource provisioning method, G2LC, for bioinformatics applications in IaaS. It enables application to output the results in a real time manner. Its main purpose is to guarantee applications performance, while improving resource utilization. Real sequence searching data of BLAST is used to evalua...
As bioinformatics datasets grow ever larger, and analyses become increasingly complex, there is a ne...
AbstractNowadays, High Performance Computing (HPC) systems commonly used in bioinformatics, such as ...
The widespread popularity of genomic applications is threatened by the "bioinformatics bottleneck" r...
<p>Next Generation Sequencing (NGS) has brought a revolution to the bioinformatics landscape, defini...
<p>Next Generation Sequencing has revolutionized the bioinformatics landscape, reshaping fields such...
In bioinformatics, genomic sequence alignment is a simple method for handling and analysing data, an...
The combination of the Hadoop MapReduce programming model and cloud computing allows biological scie...
The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of sever...
Over the past 20 years, the rise of high-throughput methods in life science has enabled research lab...
Ever since high-throughput DNA sequencing became economically feasible, the amount of biological dat...
The widespread popularity of genomic applications is threatened by the “bioinformatics bottleneck” r...
We discuss the applicability of the Microsoft cloud computing platform, Azure, for bioinformatics. W...
Commercial cloud providers are emerging as a cheap source of temporary computational resources witho...
With the rapid development in recent years of high-throughput technologies in the life sciences, hug...
We discuss the applicability of the Microsoft cloud computing platform, Azure, for bioinformatics. W...
As bioinformatics datasets grow ever larger, and analyses become increasingly complex, there is a ne...
AbstractNowadays, High Performance Computing (HPC) systems commonly used in bioinformatics, such as ...
The widespread popularity of genomic applications is threatened by the "bioinformatics bottleneck" r...
<p>Next Generation Sequencing (NGS) has brought a revolution to the bioinformatics landscape, defini...
<p>Next Generation Sequencing has revolutionized the bioinformatics landscape, reshaping fields such...
In bioinformatics, genomic sequence alignment is a simple method for handling and analysing data, an...
The combination of the Hadoop MapReduce programming model and cloud computing allows biological scie...
The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of sever...
Over the past 20 years, the rise of high-throughput methods in life science has enabled research lab...
Ever since high-throughput DNA sequencing became economically feasible, the amount of biological dat...
The widespread popularity of genomic applications is threatened by the “bioinformatics bottleneck” r...
We discuss the applicability of the Microsoft cloud computing platform, Azure, for bioinformatics. W...
Commercial cloud providers are emerging as a cheap source of temporary computational resources witho...
With the rapid development in recent years of high-throughput technologies in the life sciences, hug...
We discuss the applicability of the Microsoft cloud computing platform, Azure, for bioinformatics. W...
As bioinformatics datasets grow ever larger, and analyses become increasingly complex, there is a ne...
AbstractNowadays, High Performance Computing (HPC) systems commonly used in bioinformatics, such as ...
The widespread popularity of genomic applications is threatened by the "bioinformatics bottleneck" r...