| 03/15/2018 - Laborama 2018
03/18/2018 - ARABLAB The Expo 2018
03/20/2018 - Paperless Lab Academy 2018 Once again, we´re setting the stage for discussions on strategies and implementation of 21th century technologies in the laboratory. We´ll discuss about the key milestones to generate solid business insights from the laboratory. Connect with colleagues who share similar operational issues as you have. Learn about user´s case studies and how they are deployed into their processes. Discover the informatics trends from cutting-edge thought leaders. Be in the know about the last informatics tools and methodologies in a creative and productive atmosphere.
04/17/2018 - INTERPHEX 2018
05/15/2018 - Bio-IT World Conference and Expo 2018
05/27/2018 - HIMSS Europe 2018 | 
Ko et al.of the Korean BioInformation Center discuss their Closha web service for large-scale genomic data analysis in this 2018 paper published in BMC Bioinformatics. Noting a lack of rapid, cost-effective genomics workflow capable of running all the major genomic data analysis application in one pipeline, the researchers developed a hybrid system that can combine workflows. Additionally, they developed an add-on tool that handles the sheer size of genomic files and the speed with which they transfer, reaching transfer speeds "of up to 10 times that of normal FTP and HTTP." They conclude that "Closha allows genomic researchers without informatics or programming expertise to perform complex large-scale analysis with only a web browser."
Genomic data is increasingly used to provide better, more focused clinical care. Or course, its associated datasets can be large, and it can take significant processing power to utilize and manage effectively. In this 2016 paper published in Journal of Personalized Medicine, Tsai et al. of Partners Healthcare describe their "bioinformatics strategy to efficiently process and deliver genomic data to geneticists for clinical interpretation." They conclude that with more research comes improved workflows and "filtrations that include larger portions of the non-coding regions as they start to have utility in the clinical setting, ultimately enabling the full utility of complete genome sequencing."
