MAY 13, 2015 01:30 PM PDT
More from Less- High Quality Data from Low Quality Samples
Presented at the Genetics and Genomics Virtual Event
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  • Director, Product Development & Marketing, Broad Institute Genomics Platform
      Andrew Barry is the Director of Product Development for the Broad Institute Genomics Platform. Andrew developed techniques for the application of NGS to studying protein interactions using phage display while earning an MS in Biomedical engineering from Tufts University. Concurrently, Andrew spent 9 years working for the Broad Institute, developing technologies for the implementation and scale-up of next generation sequencing, before leaving to work in the industrial sector. Working for Caliper Life Sciences (later acquired by PerkinElmer) he held various positions in product management, strategic marketing, and biology R&D before re-joining the Broad Institute in 2014. In his current role, Andrew is responsible for bringing the Broad Institute's genomics capabilities to the scientific community in the form of Broad Genomic Services.

    The continued growth of DNA sequencing as a fundamental data output has driven the need for the ability to generate high quality data from an increasing breadth of diminishing primary sample inputs. As researchers and clinicians continue to develop associations between nucleic acid variants and disease and treatment response mechanisms, it has become increasingly important to maximize the data yield from available sample materials. The Broad Institute Genomics Platform has developed several strategies to mitigate the impact of low quality or low input sample materials on the data integrity for sample and cohort studies. These include improved protocols for nucleic acid extraction and sample preparation, implementation of quality control assays, and improved analytical tools for the identification and filtering of data artifacts. Here, we will discuss the types of quality issues that we observe, and the corresponding strategies that have been developed to overcome these.

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