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Big Genetics in BC: The American Society for Human Genetics 2016 Meeting
Themes at this year's meeting ranged from the verification, validation, and sharing of data, to the translation of laboratory findings into actionable clinical results.
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A Genome-wide View of Human DNA Viruses
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Peer Review is in Crisis, But Should be Fixed, Not Abolished
After the time to get the science done, peer review has become the slowest step in the process of sharing studies, and some scientists have had enough.
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Cancer Genetics: Key to Diagnosis, Therapy
When applied judiciously, cancer genetics directs caregivers to the right drug at the right time, while sparing patients of unnecessary or harmful treatments.
Illumina Contributes to ClinVar Database
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Agilent Presents Early Career Professor Award to Dr. Roeland Verhaak
JAX professor recognized for the development and implementation of workflows for the analysis of big-data from transcriptomics to next generation sequencing approaches.
Integrated Omics Analysis
Studying multi-omics promises to give a more holistic picture of the organism and its place in its ecosystem, however despite the complexities involved those within the field are optimistic.
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Selecting a LIMS for the Next-Generation Genomics Lab
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GenoLogics

The evolution of genomics has combined human ingenuity with rightplace/ right-time serendipity. Certainly the Human Genome Project would never have succeeded without the innovations envisioned and executed by the scientists responsible for the effort. But these successes in turn were made possible by advances in computer processing and storage that provided the bandwidth and throughput to power and run the project. But how well are organizations sizing up the challenge? Most discussions of data management in next-generation sequencing focus on gathering and storing the reams of data generated by instruments. This challenge is not to be dismissed, but it should be considered in tandem with how contextual sample and project information will be used to inform downstream analysis and critical research decision points. Recent commentaries note that while the cost of sequencing has decreased, analysis costs remain high—over half again as much as sequencing alone.

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