Genomics With Cloud Computing
Sukhamrit Kaur, Sandeep Kaur
Index Terms: Cloud Computing, DNA, DNAnexus, EC2, Genomics.
Abstract: Genomics is study of genome which provides large amount of data for which large storage and computation power is needed. These issues are solved by cloud computing that provides various cloud platforms for genomics. These platforms provides many services to user like easy access to data, easy sharing and transfer, providing storage in hundreds of terabytes, more computational power. Some cloud platforms are Google genomics, DNAnexus and Globus genomics. Various features of cloud computing to genomics are like easy access and sharing of data, security of data, less cost to pay for resources but still there are some demerits like large time needed to transfer data, less network bandwidth.
 Amanda Knowles et.al. Available: wiki.brwon.edu.
 M. Femminella et.al. (2014). “The ARES project: cloud services for medical genomics”, pp. 15-22.
 (2015). Cloud Computing. Available: icbi.georgetown.edu.
 A. D. Driscoll et.al. (2013). ‘Big data’, hadoop and cloud computing in genomics. Vol. 46, pp 774-781.
 (2013). Answers to Genome analysis may be in the clouds. Available: www.genome.gov.
 P. Kudtarkar (2010). Cost Effective cloud computing: A case study using the comparative genomic tool, Roundup. pp 197-203.
 E.E.Schadt et.al. (2010) Computational solutions to large scale data management and analysis. 11(9), pp 647-657.
 Pediatric brain research laboratory uses Globus genomics to overcome its hurdles. Available at ww.globus.org.
 Dr. G. Mirzaa (2013). Globus genomics a solution as cutting edge as our research. Available: www. Globus.org.
 (2010). Available: classic.dnanexus.com.