From Honey Bees to Hearts - Keep Track of the Latest in NGS
News Sep 24, 2014
Integrated DNA Technologies (IDT) invites researchers to join their upcoming free symposium on October 8th from 9am-5pm. Taking place in Iowa city’s hotelVetro, leading experts from a range of areas throughout life science will share how they have applied NGS technologies.
At the rate NGS is evolving, it can be challenging to keep track of the latest innovations, and through seminar talks and poster presentations, the symposium presents the ideal opportunity for researchers to keep their knowledge up to date.
Bringing together such a diverse group of researchers in the field of NGS also presents a unique chance for thought-provoking discussions and potential collaborations - perhaps even sparking new avenues of exploration.
While NGS is already generating results in the clinical setting, researchers are also busy making use of NGS to enhance human health and well-being in other ways - such as providing insights into antibiotic resistance and vitamin production, enhancing food safety and improving crop yield.
Reflecting such diversity, the symposium’s guest speakers include Director of Iowa State University’s Plant Sciences Institute, Professor Patrick Schnable, and associate professor of pharmacology Dr Anne Kwitek from the University of Iowa, who specializes in cardiology.
Dr Matt McNeill from the University of Illinois will also be discussing his research into neuronal mechanisms of foraging honey bees.
Scientists at McGill have found the answer to a question that perplexed Charles Darwin; if natural selection works at the level of the individual, fighting for survival and reproduction, how can a single colony produce worker ants that are so dramatically different in size – from “minor” workers to large-headed soldiers with huge mandibles – especially if they are sterile?
Scientists have developed a successful method to make truly personalized predictions of future disease outcomes for patients with certain types of chronic blood cancers. The study combined extensive genetic and clinical information to predict the prognosis for patients with myeloproliferative neoplasms.
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