Cutting-edge Bioinformatics Solutions for NGS


Join us on January 23rd, 2014
10am PST/ 1pm EST/ 6pm GMT/ 7pm CET
Huan Gao
Bioinformatics Engineer, BGI-Tech 

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PDXomics Solution at BGI: Accelerate Your Cancer Research and Drug Discovery

Abstract:

Empowered by world-class supercomputing platforms, state-of-the-art analysis tools and experienced bioinformaticans, BGI delivers industry-leading bioinformatics solutions for NGS data analysis. This seminar will provide a high level overview of the bioinformatics pipelines provided by BGI. In addition, we will introduce a novel, advanced bioinformatics solution, PDXomics, for tumor xenograft research. The solution enables the prediction of somatic mutations without the presence of normal tissues, provides a more efficient method for filtering out the mouse genome contamination, and enhances the validation of genetic variants using our comprehensive cancer genome databases.

Jeremy Bruestle 
CTO, Spiral Genetics 

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Anchored Assembly: Comprehensive Variant Detection Using NGS Data

Abstract:

Anchored Assembly is a novel method for detecting all forms of genetic changes, from SNPs and small indels to large structural changes, using existing NGS data.  The method accurately detects over 95% of large structural variations up to 56 kb and 99% of SNPs, with a low false positive rate.

Sebastian Wernicke, Ph.D.
Director, Seven Bridges Genomics

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Secure, Accurate, Scalable: NGS Analysis with Seven Bridges

Abstract:

Seven Bridges believes that developing and scaling NGS data analysis requires more than raw computation and storage: Pipelines need to be scientifically sound and reproducible. Data security must go beyond “meeting the standards”. And developers need easy access to develop and automate.

Nathan Pearson, Ph.D.
Principal Genome Scientist, QIAGEN’s Center of Excellence in Biological Interpretation

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Understanding Myopia Using QIAGEN’s Powerful Ingenuity® Tools to Analyze and Interpret Whole Genome Data

Abstract:

QIAGEN’s Ingenuity Variant Analysis provides researchers a powerful web-based platform for identifying and interpreting variants derived from DNA sequencing data.  Dr. Pearson will discuss a recent myopia cohort study of whole genome sequencing data from more than 100 people shared through Harvard University’s Personal Genome Project (PGP).