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Big genomics data, big scientific impact: New challenges for further development of life science
Date:11/28/2012

o study the complexity and characteristics of a genome. The scalability of SOAP-Hecate enables researchers to control the assembly time by choosing different size of the cluster. SOAP-Hecate v2.5 is able to finish the assembly of a human whole genome within two days.

Yan Li also presented the application of SOAP-Gaea in genetics research. The new version of SOAP-Gaea is integrated fully into a computational pipeline for variation detection. At present, the application of SOAP-Gaea in Cancer genomics studies has reduced the analysis time from two weeks to two days. EasyGenomics- Next Generation Bioinformatics on the Cloud

"Our goal is to make NGS analysis easier and faster, and get answers everyone can trust." said, Dr. Xing Xu, Director of Cloud Computing Products at BGI. Dr. Xu gave an overview of EasyGenomics and its advantages at the conference. He says "EasyGenomics is a robust cloud-based bioinformatics solution for NGS data analysis, which is engineered with BGI's state-of-the-art technologies and platforms. Through this excellent platform, researchers have the ability to access these informatics resources at their fingertips".

"EasyGenomics can liberate scientists from the burden of handling and processing the huge amount of NGS data." says Dr. Xu. As the sequencing cost drops sharply, a vast amounts of NGS data has been and will continue to be generated, BGI for example generating terabytes of data per day. This flood of data becomes one of the biggest obstacles for researchers to further explore the mysteries of life science, and so Dr. Xu added, "EasyGenomics emerges as the times require."

According to Xu's introduction, EasyGenomics offers a SaaS (Software as a Service) based NGS bioinformatics analysis solution based upon BGI's cloud infrastructure and cutting-edge Aspera fasp file transport technology. Users only need a standard web browser to access the services of EasyGenomics from anywhere in the world. With EasyGenomics, users ar
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Contact: Jia Liu
liujia@genomics.cn
BGI Shenzhen
Source:Eurekalert

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