2013 Applying Next Generation Sequencing Brochure.pdf

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Cover Conference-at-a-Glance Short Courses/Plenary Keynote Sequencing Strategies for Success Dynamics of the Microbiome on Health and Disease Single-Cell Sequencing Sequencing Data Analysis and Interpretation Sponsor & Exhibit Opportunities Hotel & Travel Information Registration Information Click Here to Register Online! Healthtech.com/Sequencing Register by July 12 and Save up to $250 90% coverage and enabling the detection of copy number variations and newly acquired single nucleotide variations with no false positives. Adapting MALBAC to transcriptome sequencing provides both improved technical reproducibility and increased sensitivity over existing methods and simultaneously sequencing the genome and transcriptome from the same cell allows us to probe the relation between genotype and phenotype in heterogeneous populations. 3:05 Refreshment Break in the Exhibit Hall, Last Chance for Poster Viewing 3:35 You Need More Power: Designing Cost-Effective Experiments for Measuring Differential Gene Expression Using RNA-Seq Michele Busby, Ph.D., Computational Biologist, Broad Institute; former Research Scientist, Biology, Gabor T. Marth Laboratory, Boston College RNA-Seq is a powerful tool for detecting differential gene expression, but only realizes its full potential when experiments are optimally designed. We will demonstrate how our computational tool Scotty can be used to design an experiment that contains an adequate number of samples sequenced to a sufficient depth to achieve experimental goals. We will further discuss how the performance of different RNA-Seq protocols can dramatically affect the power of an experiment and demonstrate computational techniques for assessing the performance of a protocol. 4:05 Deconvolution of Heterogeneous Tissue Samples Based on RNA-Seq Data Ting Gong, Ph.D., Assistant Professor, Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center The promising biomedical applications of NGS have spurred the development of new statistical methods to capitalize on the wealth of information contained in RNA-Seq datasets. However, for heterogeneous tissues, measurements of gene expression through RNA-Seq data can be confounded by the presence of multiple cell types present in each sample. Here, we present a statistical pipeline for deconvolution of heterogeneous tissues based on RNA-Seq data. 4:35 Panel Discussion with Afternoon Speakers Moderator: Jan Vijg, Ph.D., Professor and Chair, Genetics, Albert Einstein College of Medicine Panelists: Christine Vogel, Ph.D., Assistant Professor, Center for Genomics and Systems Biology, New York University Alec Chapman, Research Scientist, X. Sunney Xie Laboratory, Chemistry and Chemical Biology, Harvard University Michele Busby, Ph.D., Computational Biologist, Broad Institute; former Research Scientist, Biology, Gabor T. Marth Laboratory, Boston College Ting Gong, Ph.D., Assistant Professor, Molecular Carcinogenesis, University of Texas MD Anderson Cancer Center Andrey Shabalin, Ph.D., Research Scientist, Edwin J.C.G. van den Oord Laboratory, Center for Biomarker Research and Personalized Medicine, Pharmacotherapy and Outcomes Science, Virginia Commonwealth University Christina Schweikert, Ph.D., Division of Computer Science, Mathematics and Science, St. John’s University 5:00 Close of Single-Cell Sequencing Conference Cambridge Healthtech Institute 250 First Avenue, Suite 300 Needham, MA 02494 www.healthtech.com 12
Cover Conference-at-a-Glance Short Courses/Plenary Keynote Sequencing Strategies for Success Dynamics of the Microbiome on Health and Disease Single-Cell Sequencing Sequencing Data Analysis and Interpretation Sponsor & Exhibit Opportunities Hotel & Travel Information Registration Information Click Here to Register Online! Healthtech.com/Sequencing Register by July 12 and Save up to $250 Cambridge Healthtech Institute 250 First Avenue, Suite 300 Needham, MA 02494 www.healthtech.com Sixth Annual August 20-21, 2013 NG X Sequencing Data Analysis and Interpretation Progress in the Pipeline Sequencing a genome is only the beginning. Several layers of analysis are necessary to convert raw sequence data into an 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 Sequencing Data Analysis and Interpretation conference combines unique perspectives from a variety of researchers, engineers, biostatisticians, and software developers involved in NGS data analysis. Tuesday, August 20 12:00 pm Main Conference Registration Sponsored by 12:30 From Reads to Variants: Ten-Fold Reduction in Time and Cost with Improved Accuracy Rupert Yip, Ph.D., Director, Product Marketing, Bina Technologies Alignment and variant calling of raw NGS reads has been plagued by expensive HPC hardware and the bioinformatics personnel to support and maintain home-grown, opensource secondary analysis solutions. Such solutions can take up to weeks and $1000s per analysis. We present a genomic analysis platform that reduces, by ten-fold, the time and cost for secondary analysis while improving accuracy compared to standard pipelines. Our innovative model reduces costs by ten-fold while preventing hardware obsolescence. Tuesday, August 20 »» Plenary Keynote Session 2:00 Chairperson’s Opening Remarks Toby Bloom, Ph.D., Deputy Scientific Director, Informatics, New York Genome Center 2:10 A Revolution in DNA Sequencing Technologies: Challenges and Opportunities Jeffery A. Schloss, Ph.D., Director, Division of Genome Sciences, National Human Genome Research Institute, National Institutes of Health The initial sequencing of the human genome spurred an appetite for much more human sequence information to better understand the contributions of human sequence variation to health and disease. However, despite dramatic reductions during the Human Genome Project, 13 the cost of sequencing was clearly too high to collect the very large numbers of human and numerous other organism genome sequences needed to achieve that understanding. In 2004, NHGRI launched parallel programs to reduce the cost of sequencing a mammalian genome initially by two (in five years), and eventually by four orders of magnitude (in ten years). This presentation will summarize the technologies that are in high-throughput use to produce stunning amounts of sequence and related data and novel biological insights, and will emphasize technologies currently emerging and on the horizon that may provide human genome sequence data with the nature, quality, cost and turnaround time needed for applications in research and medicine. PRESENT YOUR RESEARCH Gain further exposure by presenting your work in the poster sessions. To secure a poster board and inclusion in the conference materials, your abstract must be submitted, approved and your registration paid in full by July 12, 2013. Reasons you should present your research poster at this conference: • Your poster will be exposed to our international delegation. • Receive $50 off your registration. • Your poster abstract will be published in our conference materials. • Your research will be seen by leaders from top pharmaceutical, biotech, academic and government institutes. >>
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2013 Applying Next Generation Sequencing Brochure.pdf

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