Rice Genomes Project Taps DNANexus for Data Analysis
News Jun 09, 2015
The 3K RGP project is a partnership between the Chinese Academy of Agricultural Sciences, the International Rice Research Institute, and BGI. The partners are working with other global collaborators to identify genetic differences between rice strains, which could potentially improve the nutritional content of the food staple, its tolerance to climatic changes, and strengthen resistance to disease and pests, leading to more resilient rice varieties with higher yields that can better support global food demands.
So far, researchers involved in the 3K RGP effort have analyzed 3,000 rice genomes and generated more than 100 terabytes of data. According to the company, the consortium is using DNANexus' platform to complete genome mapping and variant calling more than 200 times faster than was previously possible and without incurring the additional costs that would be associated with purchasing and maintaining compute infrastructure.
From online forums to community groups, research and experience shows people are more willing to insult and use menacing language online than in person, especially when there’s the protection of anonymity behind a computer. New research indicates that people react less strongly to malicious speech on digital platforms and see the victims as less “harmed” than if the words were said directly to a person.
Automating caricatures poses challenges due to the amount of intricate details and shapes involved and level of professional skill required. A team of computer scientists have developed an innovative deep learning-based approach to automatically generate the caricature of a given portrait
efficiently and realistically.
Google has signed an agreement to join CERN's openlab program. openlab is a public-private partnership with companies and other research organizations to develop information and communication technology (ICT) solutions. Google wants to explore possibilities for joint research and development projects in cloud computing, machine learning, and quantum computing.
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