NRGene, Illumina Partner
News Jan 07, 2016
Under this agreement, Illumina’s global sales channel will promote NRGene’s DeNovoMAGICTM assembly technology. Together, Illumina’s sequencing technology and NRGene’s DeNovoMAGIC deliver the most practical, rapid, and cost-effective solution for assembly of complex genomes, including the largest and most diverse crop, livestock and aquaculture species. “Combining our technologies provides a remarkably dynamic solution for our customers in support of their research to develop healthier and more productive crops,” said Gil Ronen, NRGene’s CEO. “After our previous, highly successful collaboration, the value of this partnership to our customers and our respective companies was clear.” Based only on Illumina short reads, NRGene has assembled some of the most complex genomic sequences available, including various lines of wheat, maize, soy, forestry and fruit trees, fish, and other organisms.
“We’re very happy to take our work with Illumina to the next level. The combination of our technologies will truly accelerate research aimed at food security. We’ve proven that even the most challenging genome assembly projects can be successfully and quickly delivered using exclusively Illumina’s short-read technology and the NRGene algorithms. This agreement extends customer’s access to the best sequencing and assembly package available and will expand the list of crop, livestock and aquaculture species with high-quality reference genomes,” concluded Ronen.
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.
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