Tim Scheurenbrand who is Teamleader at Bioinformatics from CeGaT GmbH in Germany won the tour of experiencing some of the special sights of Denmark’s capital, Copenhagen. Tim and his colleague Andrea will join our tour guide Saturday June 16 for a unique sight seeing tour in beautiful Copenhagen. What makes Copenhagen unique? If you don’t read more »
Bogi Eliasen from FarGen, Department of Research & Development: The FarGen project proposes to implement routine whole genome sequencing in healthcare for a whole society of 50,000 people, the Faroe Islands [...] read more »
Dr. Scofield from Umeå University: The massive genome of the economically important Norway Spruce represents the most complex genome assembly project to date. The low gene content (~0.1%), high heterozygosity, high but [...] read more »
Dr. Joakim Lundeberg from KTH, Royal institute of Technology: In this presentation some key sample handleling improvements at the genomics platform at SciLifeLab, Stockholm will be presented and [...] read more »
Dr. Vanessa Hayes from J. Craig Venter Institute: Determining the extent of Human Genome diversity that exists across the globe is essential if the benefits of the Human Genome Project are [...] read more »
April 30, 2012 – 12:39 pm
At Copenhagenomics there will be ample opportunities to network and meet new people, especially during the conference breaks, the conference dinner Thursday, and the beer & networking reception Friday. Here’s the preliminary list of organizations attending Copenhagenomics: Organizations 2012 This list is updated once a week with new registrants. Networking Reception with “Friday beer” We read more »
April 20, 2012 – 11:22 am
Dr. Eddy Rubin from DOE JGI: The paucity of enzymes that efficiently deconstruct plant polysaccharides represents a major bottleneck for conversion of cellulosic biomass into biofuels. Cow rumen microbes specialize in [...] read more »
These advances, extending the popular QIIME microbial analysis package to provide moving pictures of the human microbiome, help move us towards an era where personalized medicine is within reach based not on the human genome… read more »
Using a cohort of triple negative breast cancers as an example population, I will describe novel probabilistic models for inference of evolutionary patterns derived from mutational profiles measured with ultra-deep sequencing…
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The relatively short read lengths associated with the most cost-effective DNA sequencing technologies have limited the quality and completeness of both de novo genome assembly and human genome sequencing. Consequently,…read more »