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BioVLAB-MMIA: A Reconfigurable Cloud Computing Environment for microRNA and mRNA Integrated Analysis

Hyungro Lee, Youngik Yang, Heejoon Chae, Seungyoon Nam, Donghoon Choi, Patanachai Tangchaisin, Chathura Herath, Suresh Marru, Kenneth P. Nephew, Sun Kim
2011 2011 IEEE International Conference on Bioinformatics and Biomedicine  
In this study, we have extending BioVLAB cloud workbench to develop an environment for the integrated analysis of microRNA and mRNA expression data, named BioVLAB-MMIA.  ...  However, the ability to conduct genomewide microRNA-mRNA (gene) integration currently requires sophisticated, high-end informatics tools, significant expertise in bioinformatics and computer science to  ...  This work is also partially funded by the National Science Foundation through the award: OCI-1032742 (SDCI NMI Improvement: Open Gateway Computing Environments -Tools for Cyberinfrastructure-Enabled Science  ... 
doi:10.1109/bibm.2011.93 dblp:conf/bibm/LeeYCNCTHMNK11 fatcat:4ohkqtwz3navtjztj6k4fb5b5i

Cloud Computing for Next-Generation Sequencing Data Analysis [chapter]

Shanrong Zhao, Kirk Watrous, Chi Zhang, Baohong Zhang
2017 Cloud Computing - Architecture and Applications  
In this chapter, we will review some cloud-based systems and solutions for NGS data analysis, discuss the practical hurdles and limitations in cloud computing, including data transfer and security, and  ...  Fortunately, cloud computing has recently emerged as a viable option to quickly and easily acquire the computational resources for large-scale NGS data analyses.  ...  BioVLAB-MMIA-NGS [51, 52] offers the integrated miRNA-mRNA analysis and can be used to identify the "many-tomany" relationship between miRNAs and target genes with high accuracy.  ... 
doi:10.5772/66732 fatcat:2ewdbtp2bjhx7j7tj4e3auwqke