Next-Generation Sequencing Data Analysis Conference

Over 200 participants gathered in Providence, RI for CHI’s Next-Generation Sequencing conferences to investigate the expanding applications of Next-Generation Sequencing (NGS), and hear unique perspectives from a variety of researchers, engineers, biostatisticians, and software developers involved in NGS data analysis.

Delegates enjoyed creating their own agendas by moving between the tracks and choosing the sessions that best fit their research and networking needs. The well attended short courses provided additional learning experiences and interaction with colleagues, peers and industry leaders.

View our video full of highlights and impromptu interviews, to hear first-hand what thought leaders are saying about the use of NGS over the past two years, as well as their perspective on where NGS will take us in the future.

Thank you to all of our speakers, sponsors, and exhibitors for your support and contribution, and to all the delegates for your participation. The success of this event is largely due to the dedicated participants that return with us year after year.

If you would like to share your feedback, or give input for next year’s event, please contact Mary Ann Brown at mabrown@healthtech.com 

Sequencing a genome is only the beginning. Several layers of analysis are necessary to convert raw sequence data into understanding of functional biology. First, error sources in the original raw data from multiple platforms and diverse applications must be accounted for. Then, as computational methods for assembly, alignment, and variation detection continue to advance, a broad range of genetic analysis applications including comparative genomics, high-throughput polymorphism detection, analysis of coding and non-coding RNAs, and identifying mutant genes in disease pathways can be addressed. CHI’s Next-Generation Sequencing Data Analysis conference combines unique perspectives from a variety of researchers, engineers, biostatisticians, and software developers involved in NGS data analysis