Recent progress in high-throughput instrumentations has led to an astonishing growth in both volume and complexity of biomedical data collected from various sources. The planet-size data brings serious challenges to the storage and computing technologies. Cloud computing is an alternative to crack the nut because it gives concurrent consideration to enable storage and high-performance computing on large-scale data. This work briefly introduces the data intensive computing system and summarizes existing cloud-based resources in bioinformatics. These developments and applications would facilitate biomedical research to make the vast amount of diversification data meaningful and usable
Increasingly complex biomedical data from diverse sources demands large storage, efficient software ...
Next-generation sequencing (NGS) technologies have made it possible to rapidly sequence the human ge...
The molecular systems biology community has to deal with an increasingly growing amount of data. A r...
Copyright © 2013 Ying-Chih Lin et al. This is an open access article distributed under the Creative ...
Next generation sequencing and other high-throughput experimental techniques of recent decades have ...
Biomedical research has become a digital data-intensive endeavor, relying on secure and scalable com...
Bioinformatics traditionally concerns applying computational approaches for the management and the e...
High-throughput experiments enable researchers to explore complex multifactorial diseases through la...
High-throughput experiments enable researchers to explore complex multifactorial diseases through la...
The exponential increase of genomic data brought by the advent of the next or the third generation s...
Over the past 20 years, the rise of high-throughput methods in life science has enabled research lab...
With the continued exponential expansion of publicly available genomic data and access to low-cost, ...
Abstract. High throughput platforms available in clinical settings or in research laboratories, such...
AbstractWe examine how the biomedical informatics (BMI) community, especially consortia that share d...
Bioinformatics is a developing interdisciplinary science which combines information technologies int...
Increasingly complex biomedical data from diverse sources demands large storage, efficient software ...
Next-generation sequencing (NGS) technologies have made it possible to rapidly sequence the human ge...
The molecular systems biology community has to deal with an increasingly growing amount of data. A r...
Copyright © 2013 Ying-Chih Lin et al. This is an open access article distributed under the Creative ...
Next generation sequencing and other high-throughput experimental techniques of recent decades have ...
Biomedical research has become a digital data-intensive endeavor, relying on secure and scalable com...
Bioinformatics traditionally concerns applying computational approaches for the management and the e...
High-throughput experiments enable researchers to explore complex multifactorial diseases through la...
High-throughput experiments enable researchers to explore complex multifactorial diseases through la...
The exponential increase of genomic data brought by the advent of the next or the third generation s...
Over the past 20 years, the rise of high-throughput methods in life science has enabled research lab...
With the continued exponential expansion of publicly available genomic data and access to low-cost, ...
Abstract. High throughput platforms available in clinical settings or in research laboratories, such...
AbstractWe examine how the biomedical informatics (BMI) community, especially consortia that share d...
Bioinformatics is a developing interdisciplinary science which combines information technologies int...
Increasingly complex biomedical data from diverse sources demands large storage, efficient software ...
Next-generation sequencing (NGS) technologies have made it possible to rapidly sequence the human ge...
The molecular systems biology community has to deal with an increasingly growing amount of data. A r...